Class HumanTaskConfig

java.lang.Object
software.amazon.awssdk.services.sagemaker.model.HumanTaskConfig
All Implemented Interfaces:
Serializable, SdkPojo, ToCopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>
@Generated("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:

  • Method Details

    • 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 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

      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 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

    • 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 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

      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 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

    • 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. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.

      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. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.

    • 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.