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:

Serialized Form

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface HumanTaskConfig.Builder

Method Summary

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

Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait

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

- Method Detail
  - workteamArn
```
public final String workteamArn()
```
    The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
  - uiConfig
```
public final UiConfig uiConfig()
```
    Information about the user interface that workers use to complete the labeling task.
    
    Returns:
    
    Information about the user interface that workers use to complete the labeling task.
  - preHumanTaskLambdaArn
```
public final String preHumanTaskLambdaArn()
```
    The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
    
    For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.
    
    Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
    
    Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
    
    Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
    
    Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
    
    Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
    
    Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
    
    Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
    
    Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
    
    Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
    
    Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
    
    3D Point Cloud Modalities
    
    Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.
    
    3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
    
    3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
    
    3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
    
    Use the following ARNs for Label Verification and Adjustment Jobs
    
    Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
    
    Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
    
    Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
    
    Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
    
    Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
    
    Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
    
    Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
    
    3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
    
    3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
    
    3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    Returns:
    
    The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
    
    For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.
    
    Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
    
    Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
    
    Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
    
    Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
    
    Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
    
    Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
    
    Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
    
    Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
    
    Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
    
    Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
    
    3D Point Cloud Modalities
    
    Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.
    
    3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
    
    3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
    
    3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
    
    Use the following ARNs for Label Verification and Adjustment Jobs
    
    Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .
    
    Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
    
    Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
    
    Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
    
    Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
    
    Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
    
    Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
    
    3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
    
    3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
    
    3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
    
    arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    
    arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  - hasTaskKeywords
```
public final boolean hasTaskKeywords()
```
    For responses, this returns true if the service returned a value for the TaskKeywords property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
  - taskKeywords
```
public final List<String> taskKeywords()
```
    Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
    
    Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
    
    This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTaskKeywords() method.
    
    Returns:
    
    Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
  - taskTitle
```
public final String taskTitle()
```
    A title for the task for your human workers.
    
    Returns:
    
    A title for the task for your human workers.
  - taskDescription
```
public final String taskDescription()
```
    A description of the task for your human workers.
    
    Returns:
    
    A description of the task for your human workers.
  - numberOfHumanWorkersPerDataObject
```
public final Integer numberOfHumanWorkersPerDataObject()
```
    The number of human workers that will label an object.
    
    Returns:
    
    The number of human workers that will label an object.
  - taskTimeLimitInSeconds
```
public final Integer taskTimeLimitInSeconds()
```
    The amount of time that a worker has to complete a task.
    
    If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
    
    If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
    
    For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
    
    For 3D point cloud and video frame labeling jobs, the maximum is 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()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<HumanTaskConfig.Builder,HumanTaskConfig>
  - 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)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - 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
  - sdkFieldNameToField
```
public final Map<String,SdkField<?>> sdkFieldNameToField()
```
    Specified by:
    
    sdkFieldNameToField in interface SdkPojo

Class HumanTaskConfig

Nested Class Summary

Method Summary

Methods inherited from class java.lang.Object

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

Method Detail

workteamArn

uiConfig

preHumanTaskLambdaArn

hasTaskKeywords

taskKeywords

taskTitle

taskDescription

numberOfHumanWorkersPerDataObject

taskTimeLimitInSeconds

taskAvailabilityLifetimeInSeconds

maxConcurrentTaskCount

annotationConsolidationConfig

publicWorkforceTaskPrice

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields

sdkFieldNameToField