AWS SDK for C++  1.8.152
AWS SDK for C++
Public Member Functions | List of all members
Aws::SageMaker::Model::HumanTaskConfig Class Reference

#include <HumanTaskConfig.h>

Public Member Functions

 HumanTaskConfig ()
 
 HumanTaskConfig (Aws::Utils::Json::JsonView jsonValue)
 
HumanTaskConfigoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
const Aws::StringGetWorkteamArn () const
 
bool WorkteamArnHasBeenSet () const
 
void SetWorkteamArn (const Aws::String &value)
 
void SetWorkteamArn (Aws::String &&value)
 
void SetWorkteamArn (const char *value)
 
HumanTaskConfigWithWorkteamArn (const Aws::String &value)
 
HumanTaskConfigWithWorkteamArn (Aws::String &&value)
 
HumanTaskConfigWithWorkteamArn (const char *value)
 
const UiConfigGetUiConfig () const
 
bool UiConfigHasBeenSet () const
 
void SetUiConfig (const UiConfig &value)
 
void SetUiConfig (UiConfig &&value)
 
HumanTaskConfigWithUiConfig (const UiConfig &value)
 
HumanTaskConfigWithUiConfig (UiConfig &&value)
 
const Aws::StringGetPreHumanTaskLambdaArn () const
 
bool PreHumanTaskLambdaArnHasBeenSet () const
 
void SetPreHumanTaskLambdaArn (const Aws::String &value)
 
void SetPreHumanTaskLambdaArn (Aws::String &&value)
 
void SetPreHumanTaskLambdaArn (const char *value)
 
HumanTaskConfigWithPreHumanTaskLambdaArn (const Aws::String &value)
 
HumanTaskConfigWithPreHumanTaskLambdaArn (Aws::String &&value)
 
HumanTaskConfigWithPreHumanTaskLambdaArn (const char *value)
 
const Aws::Vector< Aws::String > & GetTaskKeywords () const
 
bool TaskKeywordsHasBeenSet () const
 
void SetTaskKeywords (const Aws::Vector< Aws::String > &value)
 
void SetTaskKeywords (Aws::Vector< Aws::String > &&value)
 
HumanTaskConfigWithTaskKeywords (const Aws::Vector< Aws::String > &value)
 
HumanTaskConfigWithTaskKeywords (Aws::Vector< Aws::String > &&value)
 
HumanTaskConfigAddTaskKeywords (const Aws::String &value)
 
HumanTaskConfigAddTaskKeywords (Aws::String &&value)
 
HumanTaskConfigAddTaskKeywords (const char *value)
 
const Aws::StringGetTaskTitle () const
 
bool TaskTitleHasBeenSet () const
 
void SetTaskTitle (const Aws::String &value)
 
void SetTaskTitle (Aws::String &&value)
 
void SetTaskTitle (const char *value)
 
HumanTaskConfigWithTaskTitle (const Aws::String &value)
 
HumanTaskConfigWithTaskTitle (Aws::String &&value)
 
HumanTaskConfigWithTaskTitle (const char *value)
 
const Aws::StringGetTaskDescription () const
 
bool TaskDescriptionHasBeenSet () const
 
void SetTaskDescription (const Aws::String &value)
 
void SetTaskDescription (Aws::String &&value)
 
void SetTaskDescription (const char *value)
 
HumanTaskConfigWithTaskDescription (const Aws::String &value)
 
HumanTaskConfigWithTaskDescription (Aws::String &&value)
 
HumanTaskConfigWithTaskDescription (const char *value)
 
int GetNumberOfHumanWorkersPerDataObject () const
 
bool NumberOfHumanWorkersPerDataObjectHasBeenSet () const
 
void SetNumberOfHumanWorkersPerDataObject (int value)
 
HumanTaskConfigWithNumberOfHumanWorkersPerDataObject (int value)
 
int GetTaskTimeLimitInSeconds () const
 
bool TaskTimeLimitInSecondsHasBeenSet () const
 
void SetTaskTimeLimitInSeconds (int value)
 
HumanTaskConfigWithTaskTimeLimitInSeconds (int value)
 
int GetTaskAvailabilityLifetimeInSeconds () const
 
bool TaskAvailabilityLifetimeInSecondsHasBeenSet () const
 
void SetTaskAvailabilityLifetimeInSeconds (int value)
 
HumanTaskConfigWithTaskAvailabilityLifetimeInSeconds (int value)
 
int GetMaxConcurrentTaskCount () const
 
bool MaxConcurrentTaskCountHasBeenSet () const
 
void SetMaxConcurrentTaskCount (int value)
 
HumanTaskConfigWithMaxConcurrentTaskCount (int value)
 
const AnnotationConsolidationConfigGetAnnotationConsolidationConfig () const
 
bool AnnotationConsolidationConfigHasBeenSet () const
 
void SetAnnotationConsolidationConfig (const AnnotationConsolidationConfig &value)
 
void SetAnnotationConsolidationConfig (AnnotationConsolidationConfig &&value)
 
HumanTaskConfigWithAnnotationConsolidationConfig (const AnnotationConsolidationConfig &value)
 
HumanTaskConfigWithAnnotationConsolidationConfig (AnnotationConsolidationConfig &&value)
 
const PublicWorkforceTaskPriceGetPublicWorkforceTaskPrice () const
 
bool PublicWorkforceTaskPriceHasBeenSet () const
 
void SetPublicWorkforceTaskPrice (const PublicWorkforceTaskPrice &value)
 
void SetPublicWorkforceTaskPrice (PublicWorkforceTaskPrice &&value)
 
HumanTaskConfigWithPublicWorkforceTaskPrice (const PublicWorkforceTaskPrice &value)
 
HumanTaskConfigWithPublicWorkforceTaskPrice (PublicWorkforceTaskPrice &&value)
 

Detailed Description

Information required for human workers to complete a labeling task.

See Also:

AWS API Reference

Definition at line 36 of file HumanTaskConfig.h.

Constructor & Destructor Documentation

◆ HumanTaskConfig() [1/2]

Aws::SageMaker::Model::HumanTaskConfig::HumanTaskConfig ( )

◆ HumanTaskConfig() [2/2]

Aws::SageMaker::Model::HumanTaskConfig::HumanTaskConfig ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ AddTaskKeywords() [1/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::AddTaskKeywords ( Aws::String &&  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4994 of file HumanTaskConfig.h.

◆ AddTaskKeywords() [2/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::AddTaskKeywords ( const Aws::String value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4988 of file HumanTaskConfig.h.

◆ AddTaskKeywords() [3/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::AddTaskKeywords ( const char *  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 5000 of file HumanTaskConfig.h.

◆ AnnotationConsolidationConfigHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::AnnotationConsolidationConfigHasBeenSet ( ) const
inline

Configures how labels are consolidated across human workers.

Definition at line 5269 of file HumanTaskConfig.h.

◆ GetAnnotationConsolidationConfig()

const AnnotationConsolidationConfig& Aws::SageMaker::Model::HumanTaskConfig::GetAnnotationConsolidationConfig ( ) const
inline

Configures how labels are consolidated across human workers.

Definition at line 5264 of file HumanTaskConfig.h.

◆ GetMaxConcurrentTaskCount()

int Aws::SageMaker::Model::HumanTaskConfig::GetMaxConcurrentTaskCount ( ) const
inline

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

Definition at line 5237 of file HumanTaskConfig.h.

◆ GetNumberOfHumanWorkersPerDataObject()

int Aws::SageMaker::Model::HumanTaskConfig::GetNumberOfHumanWorkersPerDataObject ( ) const
inline

The number of human workers that will label an object.

Definition at line 5088 of file HumanTaskConfig.h.

◆ GetPreHumanTaskLambdaArn()

const Aws::String& Aws::SageMaker::Model::HumanTaskConfig::GetPreHumanTaskLambdaArn ( ) const
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

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  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

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  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

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  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

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  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

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  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

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  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

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  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 731 of file HumanTaskConfig.h.

◆ GetPublicWorkforceTaskPrice()

const PublicWorkforceTaskPrice& Aws::SageMaker::Model::HumanTaskConfig::GetPublicWorkforceTaskPrice ( ) const
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5296 of file HumanTaskConfig.h.

◆ GetTaskAvailabilityLifetimeInSeconds()

int Aws::SageMaker::Model::HumanTaskConfig::GetTaskAvailabilityLifetimeInSeconds ( ) const
inline

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).

  • If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact AWS Support.

Definition at line 5193 of file HumanTaskConfig.h.

◆ GetTaskDescription()

const Aws::String& Aws::SageMaker::Model::HumanTaskConfig::GetTaskDescription ( ) const
inline

A description of the task for your human workers.

Definition at line 5047 of file HumanTaskConfig.h.

◆ GetTaskKeywords()

const Aws::Vector<Aws::String>& Aws::SageMaker::Model::HumanTaskConfig::GetTaskKeywords ( ) const
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4952 of file HumanTaskConfig.h.

◆ GetTaskTimeLimitInSeconds()

int Aws::SageMaker::Model::HumanTaskConfig::GetTaskTimeLimitInSeconds ( ) const
inline

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).

  • For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact AWS Support.

Definition at line 5123 of file HumanTaskConfig.h.

◆ GetTaskTitle()

const Aws::String& Aws::SageMaker::Model::HumanTaskConfig::GetTaskTitle ( ) const
inline

A title for the task for your human workers.

Definition at line 5006 of file HumanTaskConfig.h.

◆ GetUiConfig()

const UiConfig& Aws::SageMaker::Model::HumanTaskConfig::GetUiConfig ( ) const
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 98 of file HumanTaskConfig.h.

◆ GetWorkteamArn()

const Aws::String& Aws::SageMaker::Model::HumanTaskConfig::GetWorkteamArn ( ) const
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 49 of file HumanTaskConfig.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::SageMaker::Model::HumanTaskConfig::Jsonize ( ) const

◆ MaxConcurrentTaskCountHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::MaxConcurrentTaskCountHasBeenSet ( ) const
inline

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

Definition at line 5244 of file HumanTaskConfig.h.

◆ NumberOfHumanWorkersPerDataObjectHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::NumberOfHumanWorkersPerDataObjectHasBeenSet ( ) const
inline

The number of human workers that will label an object.

Definition at line 5093 of file HumanTaskConfig.h.

◆ operator=()

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ PreHumanTaskLambdaArnHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::PreHumanTaskLambdaArnHasBeenSet ( ) const
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

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  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 1333 of file HumanTaskConfig.h.

◆ PublicWorkforceTaskPriceHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::PublicWorkforceTaskPriceHasBeenSet ( ) const
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5302 of file HumanTaskConfig.h.

◆ SetAnnotationConsolidationConfig() [1/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetAnnotationConsolidationConfig ( AnnotationConsolidationConfig &&  value)
inline

Configures how labels are consolidated across human workers.

Definition at line 5279 of file HumanTaskConfig.h.

◆ SetAnnotationConsolidationConfig() [2/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetAnnotationConsolidationConfig ( const AnnotationConsolidationConfig value)
inline

Configures how labels are consolidated across human workers.

Definition at line 5274 of file HumanTaskConfig.h.

◆ SetMaxConcurrentTaskCount()

void Aws::SageMaker::Model::HumanTaskConfig::SetMaxConcurrentTaskCount ( int  value)
inline

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

Definition at line 5251 of file HumanTaskConfig.h.

◆ SetNumberOfHumanWorkersPerDataObject()

void Aws::SageMaker::Model::HumanTaskConfig::SetNumberOfHumanWorkersPerDataObject ( int  value)
inline

The number of human workers that will label an object.

Definition at line 5098 of file HumanTaskConfig.h.

◆ SetPreHumanTaskLambdaArn() [1/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetPreHumanTaskLambdaArn ( Aws::String &&  value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 2537 of file HumanTaskConfig.h.

◆ SetPreHumanTaskLambdaArn() [2/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetPreHumanTaskLambdaArn ( const Aws::String value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 1935 of file HumanTaskConfig.h.

◆ SetPreHumanTaskLambdaArn() [3/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetPreHumanTaskLambdaArn ( const char *  value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 3139 of file HumanTaskConfig.h.

◆ SetPublicWorkforceTaskPrice() [1/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetPublicWorkforceTaskPrice ( const PublicWorkforceTaskPrice value)
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5308 of file HumanTaskConfig.h.

◆ SetPublicWorkforceTaskPrice() [2/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetPublicWorkforceTaskPrice ( PublicWorkforceTaskPrice &&  value)
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5314 of file HumanTaskConfig.h.

◆ SetTaskAvailabilityLifetimeInSeconds()

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskAvailabilityLifetimeInSeconds ( int  value)
inline

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).

  • If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact AWS Support.

Definition at line 5217 of file HumanTaskConfig.h.

◆ SetTaskDescription() [1/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskDescription ( Aws::String &&  value)
inline

A description of the task for your human workers.

Definition at line 5062 of file HumanTaskConfig.h.

◆ SetTaskDescription() [2/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskDescription ( const Aws::String value)
inline

A description of the task for your human workers.

Definition at line 5057 of file HumanTaskConfig.h.

◆ SetTaskDescription() [3/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskDescription ( const char *  value)
inline

A description of the task for your human workers.

Definition at line 5067 of file HumanTaskConfig.h.

◆ SetTaskKeywords() [1/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskKeywords ( Aws::Vector< Aws::String > &&  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4970 of file HumanTaskConfig.h.

◆ SetTaskKeywords() [2/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskKeywords ( const Aws::Vector< Aws::String > &  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4964 of file HumanTaskConfig.h.

◆ SetTaskTimeLimitInSeconds()

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskTimeLimitInSeconds ( int  value)
inline

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).

  • For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact AWS Support.

Definition at line 5161 of file HumanTaskConfig.h.

◆ SetTaskTitle() [1/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskTitle ( Aws::String &&  value)
inline

A title for the task for your human workers.

Definition at line 5021 of file HumanTaskConfig.h.

◆ SetTaskTitle() [2/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskTitle ( const Aws::String value)
inline

A title for the task for your human workers.

Definition at line 5016 of file HumanTaskConfig.h.

◆ SetTaskTitle() [3/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetTaskTitle ( const char *  value)
inline

A title for the task for your human workers.

Definition at line 5026 of file HumanTaskConfig.h.

◆ SetUiConfig() [1/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetUiConfig ( const UiConfig value)
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 110 of file HumanTaskConfig.h.

◆ SetUiConfig() [2/2]

void Aws::SageMaker::Model::HumanTaskConfig::SetUiConfig ( UiConfig &&  value)
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 116 of file HumanTaskConfig.h.

◆ SetWorkteamArn() [1/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetWorkteamArn ( Aws::String &&  value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 67 of file HumanTaskConfig.h.

◆ SetWorkteamArn() [2/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetWorkteamArn ( const Aws::String value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 61 of file HumanTaskConfig.h.

◆ SetWorkteamArn() [3/3]

void Aws::SageMaker::Model::HumanTaskConfig::SetWorkteamArn ( const char *  value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 73 of file HumanTaskConfig.h.

◆ TaskAvailabilityLifetimeInSecondsHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::TaskAvailabilityLifetimeInSecondsHasBeenSet ( ) const
inline

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).

  • If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact AWS Support.

Definition at line 5205 of file HumanTaskConfig.h.

◆ TaskDescriptionHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::TaskDescriptionHasBeenSet ( ) const
inline

A description of the task for your human workers.

Definition at line 5052 of file HumanTaskConfig.h.

◆ TaskKeywordsHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::TaskKeywordsHasBeenSet ( ) const
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4958 of file HumanTaskConfig.h.

◆ TaskTimeLimitInSecondsHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::TaskTimeLimitInSecondsHasBeenSet ( ) const
inline

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).

  • For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact AWS Support.

Definition at line 5142 of file HumanTaskConfig.h.

◆ TaskTitleHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::TaskTitleHasBeenSet ( ) const
inline

A title for the task for your human workers.

Definition at line 5011 of file HumanTaskConfig.h.

◆ UiConfigHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::UiConfigHasBeenSet ( ) const
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 104 of file HumanTaskConfig.h.

◆ WithAnnotationConsolidationConfig() [1/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithAnnotationConsolidationConfig ( AnnotationConsolidationConfig &&  value)
inline

Configures how labels are consolidated across human workers.

Definition at line 5289 of file HumanTaskConfig.h.

◆ WithAnnotationConsolidationConfig() [2/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithAnnotationConsolidationConfig ( const AnnotationConsolidationConfig value)
inline

Configures how labels are consolidated across human workers.

Definition at line 5284 of file HumanTaskConfig.h.

◆ WithMaxConcurrentTaskCount()

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithMaxConcurrentTaskCount ( int  value)
inline

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

Definition at line 5258 of file HumanTaskConfig.h.

◆ WithNumberOfHumanWorkersPerDataObject()

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithNumberOfHumanWorkersPerDataObject ( int  value)
inline

The number of human workers that will label an object.

Definition at line 5103 of file HumanTaskConfig.h.

◆ WithPreHumanTaskLambdaArn() [1/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithPreHumanTaskLambdaArn ( Aws::String &&  value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 4343 of file HumanTaskConfig.h.

◆ WithPreHumanTaskLambdaArn() [2/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithPreHumanTaskLambdaArn ( const Aws::String value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 3741 of file HumanTaskConfig.h.

◆ WithPreHumanTaskLambdaArn() [3/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithPreHumanTaskLambdaArn ( const char *  value)
inline

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

Definition at line 4945 of file HumanTaskConfig.h.

◆ WithPublicWorkforceTaskPrice() [1/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithPublicWorkforceTaskPrice ( const PublicWorkforceTaskPrice value)
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5320 of file HumanTaskConfig.h.

◆ WithPublicWorkforceTaskPrice() [2/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithPublicWorkforceTaskPrice ( PublicWorkforceTaskPrice &&  value)
inline

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

Definition at line 5326 of file HumanTaskConfig.h.

◆ WithTaskAvailabilityLifetimeInSeconds()

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskAvailabilityLifetimeInSeconds ( int  value)
inline

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).

  • If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact AWS Support.

Definition at line 5229 of file HumanTaskConfig.h.

◆ WithTaskDescription() [1/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskDescription ( Aws::String &&  value)
inline

A description of the task for your human workers.

Definition at line 5077 of file HumanTaskConfig.h.

◆ WithTaskDescription() [2/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskDescription ( const Aws::String value)
inline

A description of the task for your human workers.

Definition at line 5072 of file HumanTaskConfig.h.

◆ WithTaskDescription() [3/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskDescription ( const char *  value)
inline

A description of the task for your human workers.

Definition at line 5082 of file HumanTaskConfig.h.

◆ WithTaskKeywords() [1/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskKeywords ( Aws::Vector< Aws::String > &&  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4982 of file HumanTaskConfig.h.

◆ WithTaskKeywords() [2/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskKeywords ( const Aws::Vector< Aws::String > &  value)
inline

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

Definition at line 4976 of file HumanTaskConfig.h.

◆ WithTaskTimeLimitInSeconds()

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskTimeLimitInSeconds ( int  value)
inline

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).

  • For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact AWS Support.

Definition at line 5180 of file HumanTaskConfig.h.

◆ WithTaskTitle() [1/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskTitle ( Aws::String &&  value)
inline

A title for the task for your human workers.

Definition at line 5036 of file HumanTaskConfig.h.

◆ WithTaskTitle() [2/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskTitle ( const Aws::String value)
inline

A title for the task for your human workers.

Definition at line 5031 of file HumanTaskConfig.h.

◆ WithTaskTitle() [3/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithTaskTitle ( const char *  value)
inline

A title for the task for your human workers.

Definition at line 5041 of file HumanTaskConfig.h.

◆ WithUiConfig() [1/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithUiConfig ( const UiConfig value)
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 122 of file HumanTaskConfig.h.

◆ WithUiConfig() [2/2]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithUiConfig ( UiConfig &&  value)
inline

Information about the user interface that workers use to complete the labeling task.

Definition at line 128 of file HumanTaskConfig.h.

◆ WithWorkteamArn() [1/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithWorkteamArn ( Aws::String &&  value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 85 of file HumanTaskConfig.h.

◆ WithWorkteamArn() [2/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithWorkteamArn ( const Aws::String value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 79 of file HumanTaskConfig.h.

◆ WithWorkteamArn() [3/3]

HumanTaskConfig& Aws::SageMaker::Model::HumanTaskConfig::WithWorkteamArn ( const char *  value)
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 91 of file HumanTaskConfig.h.

◆ WorkteamArnHasBeenSet()

bool Aws::SageMaker::Model::HumanTaskConfig::WorkteamArnHasBeenSet ( ) const
inline

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Definition at line 55 of file HumanTaskConfig.h.


The documentation for this class was generated from the following file: