All Superinterfaces:

Buildable, CopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>, SdkBuilder<HumanTaskConfig.Builder,HumanTaskConfig>, SdkPojo

Enclosing class:

HumanTaskConfig
```
public static interface HumanTaskConfig.Builder
extends SdkPojo, CopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>
```

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`default HumanTaskConfig.Builder`	`annotationConsolidationConfig(Consumer<AnnotationConsolidationConfig.Builder> annotationConsolidationConfig)`	Configures how labels are consolidated across human workers.
`HumanTaskConfig.Builder`	`annotationConsolidationConfig(AnnotationConsolidationConfig annotationConsolidationConfig)`	Configures how labels are consolidated across human workers.
`HumanTaskConfig.Builder`	`maxConcurrentTaskCount(Integer maxConcurrentTaskCount)`	Defines the maximum number of data objects that can be labeled by human workers at the same time.
`HumanTaskConfig.Builder`	`numberOfHumanWorkersPerDataObject(Integer numberOfHumanWorkersPerDataObject)`	The number of human workers that will label an object.
`HumanTaskConfig.Builder`	`preHumanTaskLambdaArn(String preHumanTaskLambdaArn)`	The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker.
`default HumanTaskConfig.Builder`	`publicWorkforceTaskPrice(Consumer<PublicWorkforceTaskPrice.Builder> publicWorkforceTaskPrice)`	The price that you pay for each task performed by an Amazon Mechanical Turk worker.
`HumanTaskConfig.Builder`	`publicWorkforceTaskPrice(PublicWorkforceTaskPrice publicWorkforceTaskPrice)`	The price that you pay for each task performed by an Amazon Mechanical Turk worker.
`HumanTaskConfig.Builder`	`taskAvailabilityLifetimeInSeconds(Integer taskAvailabilityLifetimeInSeconds)`	The length of time that a task remains available for labeling by human workers.
`HumanTaskConfig.Builder`	`taskDescription(String taskDescription)`	A description of the task for your human workers.
`HumanTaskConfig.Builder`	`taskKeywords(String... taskKeywords)`	Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
`HumanTaskConfig.Builder`	`taskKeywords(Collection<String> taskKeywords)`	Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
`HumanTaskConfig.Builder`	`taskTimeLimitInSeconds(Integer taskTimeLimitInSeconds)`	The amount of time that a worker has to complete a task.
`HumanTaskConfig.Builder`	`taskTitle(String taskTitle)`	A title for the task for your human workers.
`default HumanTaskConfig.Builder`	`uiConfig(Consumer<UiConfig.Builder> uiConfig)`	Information about the user interface that workers use to complete the labeling task.
`HumanTaskConfig.Builder`	`uiConfig(UiConfig uiConfig)`	Information about the user interface that workers use to complete the labeling task.
`HumanTaskConfig.Builder`	`workteamArn(String workteamArn)`	The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFieldNameToField, sdkFields

- Method Detail
  - workteamArn
```
HumanTaskConfig.Builder workteamArn(String workteamArn)
```
    The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
    
    Parameters:
    
    workteamArn - The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - uiConfig
```
HumanTaskConfig.Builder uiConfig(UiConfig uiConfig)
```
    Information about the user interface that workers use to complete the labeling task.
    
    Parameters:
    
    uiConfig - Information about the user interface that workers use to complete the labeling task.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - uiConfig
```
default HumanTaskConfig.Builder uiConfig(Consumer<UiConfig.Builder> uiConfig)
```
    Information about the user interface that workers use to complete the labeling task.
    This is a convenience method that creates an instance of the UiConfig.Builder avoiding the need to create one manually via UiConfig.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to uiConfig(UiConfig).
    
    Parameters:
    
    uiConfig - a consumer that will call methods on UiConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    uiConfig(UiConfig)
  - preHumanTaskLambdaArn
```
HumanTaskConfig.Builder preHumanTaskLambdaArn(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
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskKeywords
```
HumanTaskConfig.Builder taskKeywords(Collection<String> taskKeywords)
```
    Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
    
    Parameters:
    
    taskKeywords - Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskKeywords
```
HumanTaskConfig.Builder taskKeywords(String... taskKeywords)
```
    Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
    
    Parameters:
    
    taskKeywords - Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskTitle
```
HumanTaskConfig.Builder taskTitle(String taskTitle)
```
    A title for the task for your human workers.
    
    Parameters:
    
    taskTitle - A title for the task for your human workers.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskDescription
```
HumanTaskConfig.Builder taskDescription(String taskDescription)
```
    A description of the task for your human workers.
    
    Parameters:
    
    taskDescription - A description of the task for your human workers.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - numberOfHumanWorkersPerDataObject
```
HumanTaskConfig.Builder numberOfHumanWorkersPerDataObject(Integer numberOfHumanWorkersPerDataObject)
```
    The number of human workers that will label an object.
    
    Parameters:
    
    numberOfHumanWorkersPerDataObject - The number of human workers that will label an object.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskTimeLimitInSeconds
```
HumanTaskConfig.Builder taskTimeLimitInSeconds(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.
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - taskAvailabilityLifetimeInSeconds
```
HumanTaskConfig.Builder taskAvailabilityLifetimeInSeconds(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.
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - maxConcurrentTaskCount
```
HumanTaskConfig.Builder maxConcurrentTaskCount(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.
    
    Parameters:
    
    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:
    
    Returns a reference to this object so that method calls can be chained together.
  - annotationConsolidationConfig
```
HumanTaskConfig.Builder annotationConsolidationConfig(AnnotationConsolidationConfig annotationConsolidationConfig)
```
    Configures how labels are consolidated across human workers.
    
    Parameters:
    
    annotationConsolidationConfig - Configures how labels are consolidated across human workers.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - annotationConsolidationConfig
```
default HumanTaskConfig.Builder annotationConsolidationConfig(Consumer<AnnotationConsolidationConfig.Builder> annotationConsolidationConfig)
```
    Configures how labels are consolidated across human workers.
    This is a convenience method that creates an instance of the AnnotationConsolidationConfig.Builder avoiding the need to create one manually via AnnotationConsolidationConfig.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to annotationConsolidationConfig(AnnotationConsolidationConfig).
    
    Parameters:
    
    annotationConsolidationConfig - a consumer that will call methods on AnnotationConsolidationConfig.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    annotationConsolidationConfig(AnnotationConsolidationConfig)
  - publicWorkforceTaskPrice
```
HumanTaskConfig.Builder publicWorkforceTaskPrice(PublicWorkforceTaskPrice publicWorkforceTaskPrice)
```
    The price that you pay for each task performed by an Amazon Mechanical Turk worker.
    
    Parameters:
    
    publicWorkforceTaskPrice - The price that you pay for each task performed by an Amazon Mechanical Turk worker.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - publicWorkforceTaskPrice
```
default HumanTaskConfig.Builder publicWorkforceTaskPrice(Consumer<PublicWorkforceTaskPrice.Builder> publicWorkforceTaskPrice)
```
    The price that you pay for each task performed by an Amazon Mechanical Turk worker.
    This is a convenience method that creates an instance of the PublicWorkforceTaskPrice.Builder avoiding the need to create one manually via PublicWorkforceTaskPrice.builder().
    When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to publicWorkforceTaskPrice(PublicWorkforceTaskPrice).
    
    Parameters:
    
    publicWorkforceTaskPrice - a consumer that will call methods on PublicWorkforceTaskPrice.Builder
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    publicWorkforceTaskPrice(PublicWorkforceTaskPrice)

Interface HumanTaskConfig.Builder

Method Summary

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

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

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

Method Detail

workteamArn

uiConfig

uiConfig

preHumanTaskLambdaArn

taskKeywords

taskKeywords

taskTitle

taskDescription

numberOfHumanWorkersPerDataObject

taskTimeLimitInSeconds

taskAvailabilityLifetimeInSeconds

maxConcurrentTaskCount

annotationConsolidationConfig

annotationConsolidationConfig

publicWorkforceTaskPrice

publicWorkforceTaskPrice