software.amazon.awssdk.services.sagemaker.model

Class HumanTaskConfig

java.lang.Object

software.amazon.awssdk.services.sagemaker.model.HumanTaskConfig

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>

@Generated(value="software.amazon.awssdk:codegen")
public final class HumanTaskConfig
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>

Information required for human workers to complete a labeling task.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	HumanTaskConfig.Builder

Method Summary

Modifier and Type	Method and Description
AnnotationConsolidationConfig	annotationConsolidationConfig() Configures how labels are consolidated across human workers.
static HumanTaskConfig.Builder	builder()
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
boolean	hasTaskKeywords() For responses, this returns true if the service returned a value for the TaskKeywords property.
Integer	maxConcurrentTaskCount() Defines the maximum number of data objects that can be labeled by human workers at the same time.
Integer	numberOfHumanWorkersPerDataObject() The number of human workers that will label an object.
String	preHumanTaskLambdaArn() The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
PublicWorkforceTaskPrice	publicWorkforceTaskPrice() The price that you pay for each task performed by an Amazon Mechanical Turk worker.
List<SdkField<?>>	sdkFields()
static Class<? extends HumanTaskConfig.Builder>	serializableBuilderClass()
Integer	taskAvailabilityLifetimeInSeconds() The length of time that a task remains available for labeling by human workers.
String	taskDescription() A description of the task for your human workers.
List<String>	taskKeywords() Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
Integer	taskTimeLimitInSeconds() The amount of time that a worker has to complete a task.
String	taskTitle() A title for the task for your human workers.
HumanTaskConfig.Builder	toBuilder() Take this object and create a builder that contains all of the current property values of this object.
String	toString() Returns a string representation of this object.
UiConfig	uiConfig() Information about the user interface that workers use to complete the labeling task.
String	workteamArn() The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

copy

Method Detail

workteamArn

public final String workteamArn()

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

Returns:

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

uiConfig

public final UiConfig uiConfig()

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

Returns:

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

preHumanTaskLambdaArn

public final String preHumanTaskLambdaArn()

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

Returns:

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

hasTaskKeywords

public final boolean hasTaskKeywords()

For responses, this returns true if the service returned a value for the TaskKeywords property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.

taskKeywords

public final List<String> taskKeywords()

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

Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.

This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTaskKeywords() method.

Returns:

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

taskTitle

public final String taskTitle()

A title for the task for your human workers.

Returns:

A title for the task for your human workers.

taskDescription

public final String taskDescription()

A description of the task for your human workers.

Returns:

A description of the task for your human workers.

numberOfHumanWorkersPerDataObject

public final Integer numberOfHumanWorkersPerDataObject()

The number of human workers that will label an object.

Returns:

The number of human workers that will label an object.

taskTimeLimitInSeconds

public final Integer taskTimeLimitInSeconds()

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 Amazon Web Services Support.

Returns:

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 Amazon Web Services Support.

taskAvailabilityLifetimeInSeconds

public final Integer taskAvailabilityLifetimeInSeconds()

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 Amazon Web Services Support.

Returns:

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 Amazon Web Services Support.

maxConcurrentTaskCount

public final Integer maxConcurrentTaskCount()

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.

Returns:

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.

annotationConsolidationConfig

public final AnnotationConsolidationConfig annotationConsolidationConfig()

Configures how labels are consolidated across human workers.

Returns:

Configures how labels are consolidated across human workers.

publicWorkforceTaskPrice

public final PublicWorkforceTaskPrice publicWorkforceTaskPrice()

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

Returns:

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

toBuilder

public HumanTaskConfig.Builder toBuilder()

Description copied from interface: ToCopyableBuilder

Take this object and create a builder that contains all of the current property values of this object.

Specified by:

toBuilder in interface ToCopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>

Returns:

a builder for type T

builder

public static HumanTaskConfig.Builder builder()

serializableBuilderClass

public static Class<? extends HumanTaskConfig.Builder> serializableBuilderClass()

hashCode

public final int hashCode()

Overrides:

hashCode in class Object

equals

public final boolean equals(Object obj)

Overrides:

equals in class Object

equalsBySdkFields

public final boolean equalsBySdkFields(Object obj)

Description copied from interface: SdkPojo

Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in an SdkPojo class, and is generated based on a service model.

If an SdkPojo class does not have any inherited fields, equalsBySdkFields and equals are essentially the same.

Specified by:

equalsBySdkFields in interface SdkPojo

Parameters:

obj - the object to be compared with

Returns:

true if the other object equals to this object by sdk fields, false otherwise.

toString

public final String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

getValueForField

public final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)

sdkFields

public final List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo

Returns:

List of SdkField in this POJO. May be empty list but should never be null.