Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.SageMaker.Types.HumanTaskConfig

Description

Synopsis

Documentation

data HumanTaskConfig Source #

Information required for human workers to complete a labeling task.

See: newHumanTaskConfig smart constructor.

Constructors

HumanTaskConfig'

Fields

taskKeywords :: Maybe (NonEmpty Text)
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
taskAvailabilityLifetimeInSeconds :: Maybe Natural
The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.
- If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
- If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.
maxConcurrentTaskCount :: Maybe Natural
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.
workteamArn :: Text
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
uiConfig :: UiConfig
Information about the user interface that workers use to complete the labeling task.

preHumanTaskLambdaArn :: Text

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

taskTitle :: Text
A title for the task for your human workers.
taskDescription :: Text
A description of the task for your human workers.
numberOfHumanWorkersPerDataObject :: Natural
The number of human workers that will label an object.
taskTimeLimitInSeconds :: Natural
The amount of time that a worker has to complete a task.
If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
- For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
- For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.
annotationConsolidationConfig :: AnnotationConsolidationConfig
Configures how labels are consolidated across human workers.

Instances

Instances details

Eq HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods (==) :: HumanTaskConfig -> HumanTaskConfig -> Bool # (/=) :: HumanTaskConfig -> HumanTaskConfig -> Bool #
Read HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods readsPrec :: Int -> ReadS HumanTaskConfig # readList :: ReadS [HumanTaskConfig] # readPrec :: ReadPrec HumanTaskConfig # readListPrec :: ReadPrec [HumanTaskConfig] #
Show HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods showsPrec :: Int -> HumanTaskConfig -> ShowS # show :: HumanTaskConfig -> String # showList :: [HumanTaskConfig] -> ShowS #
Generic HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Associated Types type Rep HumanTaskConfig :: Type -> Type # Methods from :: HumanTaskConfig -> Rep HumanTaskConfig x # to :: Rep HumanTaskConfig x -> HumanTaskConfig #
NFData HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods rnf :: HumanTaskConfig -> () #
Hashable HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods hashWithSalt :: Int -> HumanTaskConfig -> Int # hash :: HumanTaskConfig -> Int #
ToJSON HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods toJSON :: HumanTaskConfig -> Value # toEncoding :: HumanTaskConfig -> Encoding # toJSONList :: [HumanTaskConfig] -> Value # toEncodingList :: [HumanTaskConfig] -> Encoding #
FromJSON HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods parseJSON :: Value -> Parser HumanTaskConfig # parseJSONList :: Value -> Parser [HumanTaskConfig] #
type Rep HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig type Rep HumanTaskConfig = D1 ('MetaData "HumanTaskConfig" "Amazonka.SageMaker.Types.HumanTaskConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanTaskConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "taskKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "publicWorkforceTaskPrice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PublicWorkforceTaskPrice)) :: S1 ('MetaSel ('Just "taskAvailabilityLifetimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: (S1 ('MetaSel ('Just "maxConcurrentTaskCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "uiConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 UiConfig)))) :: ((S1 ('MetaSel ('Just "preHumanTaskLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "taskTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "taskDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "numberOfHumanWorkersPerDataObject") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: (S1 ('MetaSel ('Just "taskTimeLimitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "annotationConsolidationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AnnotationConsolidationConfig))))))

newHumanTaskConfig Source #

Arguments

:: Text	`$sel:workteamArn:HumanTaskConfig'`
-> UiConfig	`$sel:uiConfig:HumanTaskConfig'`
-> Text	`$sel:preHumanTaskLambdaArn:HumanTaskConfig'`
-> Text	`$sel:taskTitle:HumanTaskConfig'`
-> Text	`$sel:taskDescription:HumanTaskConfig'`
-> Natural	`$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig'`
-> Natural	`$sel:taskTimeLimitInSeconds:HumanTaskConfig'`
-> AnnotationConsolidationConfig	`$sel:annotationConsolidationConfig:HumanTaskConfig'`
-> HumanTaskConfig

Create a value of HumanTaskConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:taskKeywords:HumanTaskConfig', humanTaskConfig_taskKeywords - Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

$sel:publicWorkforceTaskPrice:HumanTaskConfig', humanTaskConfig_publicWorkforceTaskPrice - The price that you pay for each task performed by an Amazon Mechanical Turk worker.

$sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig', humanTaskConfig_taskAvailabilityLifetimeInSeconds - The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.

$sel:maxConcurrentTaskCount:HumanTaskConfig', humanTaskConfig_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.

$sel:workteamArn:HumanTaskConfig', humanTaskConfig_workteamArn - The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

$sel:uiConfig:HumanTaskConfig', humanTaskConfig_uiConfig - Information about the user interface that workers use to complete the labeling task.

$sel:preHumanTaskLambdaArn:HumanTaskConfig', humanTaskConfig_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

$sel:taskTitle:HumanTaskConfig', humanTaskConfig_taskTitle - A title for the task for your human workers.

$sel:taskDescription:HumanTaskConfig', humanTaskConfig_taskDescription - A description of the task for your human workers.

$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig', humanTaskConfig_numberOfHumanWorkersPerDataObject - The number of human workers that will label an object.

$sel:taskTimeLimitInSeconds:HumanTaskConfig', humanTaskConfig_taskTimeLimitInSeconds - The amount of time that a worker has to complete a task.

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

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

For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.

$sel:annotationConsolidationConfig:HumanTaskConfig', humanTaskConfig_annotationConsolidationConfig - Configures how labels are consolidated across human workers.

humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text)) Source #

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

humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice) Source #

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

humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural) Source #

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

If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.

humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural) Source #

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.

humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text Source #

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

humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig Source #

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

humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text Source #

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

humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text Source #

A title for the task for your human workers.

humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text Source #

A description of the task for your human workers.

humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural Source #

The number of human workers that will label an object.

humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural Source #

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

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

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

For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.

humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig Source #

Configures how labels are consolidated across human workers.