{-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE DuplicateRecordFields #-} {-# LANGUAGE NamedFieldPuns #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE StrictData #-} {-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Amazonka.SageMaker.Types.HumanTaskConfig -- Copyright : (c) 2013-2023 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) module Amazonka.SageMaker.Types.HumanTaskConfig where import qualified Amazonka.Core as Core import qualified Amazonka.Core.Lens.Internal as Lens import qualified Amazonka.Data as Data import qualified Amazonka.Prelude as Prelude import Amazonka.SageMaker.Types.AnnotationConsolidationConfig import Amazonka.SageMaker.Types.PublicWorkforceTaskPrice import Amazonka.SageMaker.Types.UiConfig -- | Information required for human workers to complete a labeling task. -- -- /See:/ 'newHumanTaskConfig' smart constructor. data HumanTaskConfig = HumanTaskConfig' { -- | 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. HumanTaskConfig -> Maybe Natural maxConcurrentTaskCount :: Prelude.Maybe Prelude.Natural, -- | The price that you pay for each task performed by an Amazon Mechanical -- Turk worker. HumanTaskConfig -> Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice :: Prelude.Maybe PublicWorkforceTaskPrice, -- | 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. HumanTaskConfig -> Maybe Natural taskAvailabilityLifetimeInSeconds :: Prelude.Maybe Prelude.Natural, -- | Keywords used to describe the task so that workers on Amazon Mechanical -- Turk can discover the task. HumanTaskConfig -> Maybe (NonEmpty Text) taskKeywords :: Prelude.Maybe (Prelude.NonEmpty Prelude.Text), -- | The Amazon Resource Name (ARN) of the work team assigned to complete the -- tasks. HumanTaskConfig -> Text workteamArn :: Prelude.Text, -- | Information about the user interface that workers use to complete the -- labeling task. HumanTaskConfig -> UiConfig uiConfig :: UiConfig, -- | 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task types>, -- use one of the following Amazon SageMaker Ground Truth Lambda function -- ARNs for @PreHumanTaskLambdaArn@. For custom labeling workflows, see -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-prelambda 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-task-types.html 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html 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 -> Text preHumanTaskLambdaArn :: Prelude.Text, -- | A title for the task for your human workers. HumanTaskConfig -> Text taskTitle :: Prelude.Text, -- | A description of the task for your human workers. HumanTaskConfig -> Text taskDescription :: Prelude.Text, -- | The number of human workers that will label an object. HumanTaskConfig -> Natural numberOfHumanWorkersPerDataObject :: Prelude.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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task type> -- the maximum for this parameter depends on the task type you use: -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-images.html image> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-text.html text> -- labeling jobs, the maximum is 8 hours (28,800 seconds). -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud.html 3D point cloud> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-video.html 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. HumanTaskConfig -> Natural taskTimeLimitInSeconds :: Prelude.Natural, -- | Configures how labels are consolidated across human workers. HumanTaskConfig -> AnnotationConsolidationConfig annotationConsolidationConfig :: AnnotationConsolidationConfig } deriving (HumanTaskConfig -> HumanTaskConfig -> Bool forall a. (a -> a -> Bool) -> (a -> a -> Bool) -> Eq a /= :: HumanTaskConfig -> HumanTaskConfig -> Bool $c/= :: HumanTaskConfig -> HumanTaskConfig -> Bool == :: HumanTaskConfig -> HumanTaskConfig -> Bool $c== :: HumanTaskConfig -> HumanTaskConfig -> Bool Prelude.Eq, ReadPrec [HumanTaskConfig] ReadPrec HumanTaskConfig Int -> ReadS HumanTaskConfig ReadS [HumanTaskConfig] forall a. (Int -> ReadS a) -> ReadS [a] -> ReadPrec a -> ReadPrec [a] -> Read a readListPrec :: ReadPrec [HumanTaskConfig] $creadListPrec :: ReadPrec [HumanTaskConfig] readPrec :: ReadPrec HumanTaskConfig $creadPrec :: ReadPrec HumanTaskConfig readList :: ReadS [HumanTaskConfig] $creadList :: ReadS [HumanTaskConfig] readsPrec :: Int -> ReadS HumanTaskConfig $creadsPrec :: Int -> ReadS HumanTaskConfig Prelude.Read, Int -> HumanTaskConfig -> ShowS [HumanTaskConfig] -> ShowS HumanTaskConfig -> String forall a. (Int -> a -> ShowS) -> (a -> String) -> ([a] -> ShowS) -> Show a showList :: [HumanTaskConfig] -> ShowS $cshowList :: [HumanTaskConfig] -> ShowS show :: HumanTaskConfig -> String $cshow :: HumanTaskConfig -> String showsPrec :: Int -> HumanTaskConfig -> ShowS $cshowsPrec :: Int -> HumanTaskConfig -> ShowS Prelude.Show, forall x. Rep HumanTaskConfig x -> HumanTaskConfig forall x. HumanTaskConfig -> Rep HumanTaskConfig x forall a. (forall x. a -> Rep a x) -> (forall x. Rep a x -> a) -> Generic a $cto :: forall x. Rep HumanTaskConfig x -> HumanTaskConfig $cfrom :: forall x. HumanTaskConfig -> Rep HumanTaskConfig x Prelude.Generic) -- | -- Create a value of 'HumanTaskConfig' with all optional fields omitted. -- -- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'maxConcurrentTaskCount', '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. To increase the maximum value to 5000 objects, contact Amazon -- Web Services Support. -- -- 'publicWorkforceTaskPrice', 'humanTaskConfig_publicWorkforceTaskPrice' - The price that you pay for each task performed by an Amazon Mechanical -- Turk worker. -- -- 'taskAvailabilityLifetimeInSeconds', '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 30 -- days (2592,000 seconds) for non-AL mode. For most users, the maximum -- is also 30 days. -- -- 'taskKeywords', 'humanTaskConfig_taskKeywords' - Keywords used to describe the task so that workers on Amazon Mechanical -- Turk can discover the task. -- -- 'workteamArn', 'humanTaskConfig_workteamArn' - The Amazon Resource Name (ARN) of the work team assigned to complete the -- tasks. -- -- 'uiConfig', 'humanTaskConfig_uiConfig' - Information about the user interface that workers use to complete the -- labeling task. -- -- 'preHumanTaskLambdaArn', '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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task types>, -- use one of the following Amazon SageMaker Ground Truth Lambda function -- ARNs for @PreHumanTaskLambdaArn@. For custom labeling workflows, see -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-prelambda 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-task-types.html 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html 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', 'humanTaskConfig_taskTitle' - A title for the task for your human workers. -- -- 'taskDescription', 'humanTaskConfig_taskDescription' - A description of the task for your human workers. -- -- 'numberOfHumanWorkersPerDataObject', 'humanTaskConfig_numberOfHumanWorkersPerDataObject' - The number of human workers that will label an object. -- -- 'taskTimeLimitInSeconds', '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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task type> -- the maximum for this parameter depends on the task type you use: -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-images.html image> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-text.html text> -- labeling jobs, the maximum is 8 hours (28,800 seconds). -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud.html 3D point cloud> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-video.html 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. -- -- 'annotationConsolidationConfig', 'humanTaskConfig_annotationConsolidationConfig' - Configures how labels are consolidated across human workers. newHumanTaskConfig :: -- | 'workteamArn' Prelude.Text -> -- | 'uiConfig' UiConfig -> -- | 'preHumanTaskLambdaArn' Prelude.Text -> -- | 'taskTitle' Prelude.Text -> -- | 'taskDescription' Prelude.Text -> -- | 'numberOfHumanWorkersPerDataObject' Prelude.Natural -> -- | 'taskTimeLimitInSeconds' Prelude.Natural -> -- | 'annotationConsolidationConfig' AnnotationConsolidationConfig -> HumanTaskConfig newHumanTaskConfig :: Text -> UiConfig -> Text -> Text -> Text -> Natural -> Natural -> AnnotationConsolidationConfig -> HumanTaskConfig newHumanTaskConfig Text pWorkteamArn_ UiConfig pUiConfig_ Text pPreHumanTaskLambdaArn_ Text pTaskTitle_ Text pTaskDescription_ Natural pNumberOfHumanWorkersPerDataObject_ Natural pTaskTimeLimitInSeconds_ AnnotationConsolidationConfig pAnnotationConsolidationConfig_ = HumanTaskConfig' { $sel:maxConcurrentTaskCount:HumanTaskConfig' :: Maybe Natural maxConcurrentTaskCount = forall a. Maybe a Prelude.Nothing, $sel:publicWorkforceTaskPrice:HumanTaskConfig' :: Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice = forall a. Maybe a Prelude.Nothing, $sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: Maybe Natural taskAvailabilityLifetimeInSeconds = forall a. Maybe a Prelude.Nothing, $sel:taskKeywords:HumanTaskConfig' :: Maybe (NonEmpty Text) taskKeywords = forall a. Maybe a Prelude.Nothing, $sel:workteamArn:HumanTaskConfig' :: Text workteamArn = Text pWorkteamArn_, $sel:uiConfig:HumanTaskConfig' :: UiConfig uiConfig = UiConfig pUiConfig_, $sel:preHumanTaskLambdaArn:HumanTaskConfig' :: Text preHumanTaskLambdaArn = Text pPreHumanTaskLambdaArn_, $sel:taskTitle:HumanTaskConfig' :: Text taskTitle = Text pTaskTitle_, $sel:taskDescription:HumanTaskConfig' :: Text taskDescription = Text pTaskDescription_, $sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: Natural numberOfHumanWorkersPerDataObject = Natural pNumberOfHumanWorkersPerDataObject_, $sel:taskTimeLimitInSeconds:HumanTaskConfig' :: Natural taskTimeLimitInSeconds = Natural pTaskTimeLimitInSeconds_, $sel:annotationConsolidationConfig:HumanTaskConfig' :: AnnotationConsolidationConfig annotationConsolidationConfig = AnnotationConsolidationConfig pAnnotationConsolidationConfig_ } -- | 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. humanTaskConfig_maxConcurrentTaskCount :: Lens.Lens' HumanTaskConfig (Prelude.Maybe Prelude.Natural) humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural) humanTaskConfig_maxConcurrentTaskCount = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Maybe Natural maxConcurrentTaskCount :: Maybe Natural $sel:maxConcurrentTaskCount:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural maxConcurrentTaskCount} -> Maybe Natural maxConcurrentTaskCount) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Maybe Natural a -> HumanTaskConfig s {$sel:maxConcurrentTaskCount:HumanTaskConfig' :: Maybe Natural maxConcurrentTaskCount = Maybe Natural a} :: HumanTaskConfig) -- | The price that you pay for each task performed by an Amazon Mechanical -- Turk worker. humanTaskConfig_publicWorkforceTaskPrice :: Lens.Lens' HumanTaskConfig (Prelude.Maybe PublicWorkforceTaskPrice) humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice) humanTaskConfig_publicWorkforceTaskPrice = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice $sel:publicWorkforceTaskPrice:HumanTaskConfig' :: HumanTaskConfig -> Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice} -> Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Maybe PublicWorkforceTaskPrice a -> HumanTaskConfig s {$sel:publicWorkforceTaskPrice:HumanTaskConfig' :: Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice = Maybe PublicWorkforceTaskPrice a} :: HumanTaskConfig) -- | 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. humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens.Lens' HumanTaskConfig (Prelude.Maybe Prelude.Natural) humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural) humanTaskConfig_taskAvailabilityLifetimeInSeconds = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Maybe Natural taskAvailabilityLifetimeInSeconds :: Maybe Natural $sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural taskAvailabilityLifetimeInSeconds} -> Maybe Natural taskAvailabilityLifetimeInSeconds) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Maybe Natural a -> HumanTaskConfig s {$sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: Maybe Natural taskAvailabilityLifetimeInSeconds = Maybe Natural a} :: HumanTaskConfig) -- | Keywords used to describe the task so that workers on Amazon Mechanical -- Turk can discover the task. humanTaskConfig_taskKeywords :: Lens.Lens' HumanTaskConfig (Prelude.Maybe (Prelude.NonEmpty Prelude.Text)) humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text)) humanTaskConfig_taskKeywords = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Maybe (NonEmpty Text) taskKeywords :: Maybe (NonEmpty Text) $sel:taskKeywords:HumanTaskConfig' :: HumanTaskConfig -> Maybe (NonEmpty Text) taskKeywords} -> Maybe (NonEmpty Text) taskKeywords) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Maybe (NonEmpty Text) a -> HumanTaskConfig s {$sel:taskKeywords:HumanTaskConfig' :: Maybe (NonEmpty Text) taskKeywords = Maybe (NonEmpty Text) a} :: HumanTaskConfig) forall b c a. (b -> c) -> (a -> b) -> a -> c Prelude.. forall (f :: * -> *) (g :: * -> *) s t a b. (Functor f, Functor g) => AnIso s t a b -> Iso (f s) (g t) (f a) (g b) Lens.mapping forall s t a b. (Coercible s a, Coercible t b) => Iso s t a b Lens.coerced -- | The Amazon Resource Name (ARN) of the work team assigned to complete the -- tasks. humanTaskConfig_workteamArn :: Lens.Lens' HumanTaskConfig Prelude.Text humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text humanTaskConfig_workteamArn = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Text workteamArn :: Text $sel:workteamArn:HumanTaskConfig' :: HumanTaskConfig -> Text workteamArn} -> Text workteamArn) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Text a -> HumanTaskConfig s {$sel:workteamArn:HumanTaskConfig' :: Text workteamArn = Text a} :: HumanTaskConfig) -- | Information about the user interface that workers use to complete the -- labeling task. humanTaskConfig_uiConfig :: Lens.Lens' HumanTaskConfig UiConfig humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig humanTaskConfig_uiConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {UiConfig uiConfig :: UiConfig $sel:uiConfig:HumanTaskConfig' :: HumanTaskConfig -> UiConfig uiConfig} -> UiConfig uiConfig) (\s :: HumanTaskConfig s@HumanTaskConfig' {} UiConfig a -> HumanTaskConfig s {$sel:uiConfig:HumanTaskConfig' :: UiConfig uiConfig = UiConfig a} :: HumanTaskConfig) -- | 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task types>, -- use one of the following Amazon SageMaker Ground Truth Lambda function -- ARNs for @PreHumanTaskLambdaArn@. For custom labeling workflows, see -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-custom-templates-step3.html#sms-custom-templates-step3-prelambda 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud-task-types.html 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-verification-data.html 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_preHumanTaskLambdaArn :: Lens.Lens' HumanTaskConfig Prelude.Text humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text humanTaskConfig_preHumanTaskLambdaArn = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Text preHumanTaskLambdaArn :: Text $sel:preHumanTaskLambdaArn:HumanTaskConfig' :: HumanTaskConfig -> Text preHumanTaskLambdaArn} -> Text preHumanTaskLambdaArn) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Text a -> HumanTaskConfig s {$sel:preHumanTaskLambdaArn:HumanTaskConfig' :: Text preHumanTaskLambdaArn = Text a} :: HumanTaskConfig) -- | A title for the task for your human workers. humanTaskConfig_taskTitle :: Lens.Lens' HumanTaskConfig Prelude.Text humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text humanTaskConfig_taskTitle = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Text taskTitle :: Text $sel:taskTitle:HumanTaskConfig' :: HumanTaskConfig -> Text taskTitle} -> Text taskTitle) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Text a -> HumanTaskConfig s {$sel:taskTitle:HumanTaskConfig' :: Text taskTitle = Text a} :: HumanTaskConfig) -- | A description of the task for your human workers. humanTaskConfig_taskDescription :: Lens.Lens' HumanTaskConfig Prelude.Text humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text humanTaskConfig_taskDescription = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Text taskDescription :: Text $sel:taskDescription:HumanTaskConfig' :: HumanTaskConfig -> Text taskDescription} -> Text taskDescription) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Text a -> HumanTaskConfig s {$sel:taskDescription:HumanTaskConfig' :: Text taskDescription = Text a} :: HumanTaskConfig) -- | The number of human workers that will label an object. humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens.Lens' HumanTaskConfig Prelude.Natural humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural humanTaskConfig_numberOfHumanWorkersPerDataObject = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Natural numberOfHumanWorkersPerDataObject :: Natural $sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: HumanTaskConfig -> Natural numberOfHumanWorkersPerDataObject} -> Natural numberOfHumanWorkersPerDataObject) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Natural a -> HumanTaskConfig s {$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: Natural numberOfHumanWorkersPerDataObject = Natural a} :: HumanTaskConfig) -- | 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 -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-task-types.html built-in task type> -- the maximum for this parameter depends on the task type you use: -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-images.html image> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-label-text.html text> -- labeling jobs, the maximum is 8 hours (28,800 seconds). -- -- - For -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-point-cloud.html 3D point cloud> -- and -- <https://docs.aws.amazon.com/sagemaker/latest/dg/sms-video.html 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. humanTaskConfig_taskTimeLimitInSeconds :: Lens.Lens' HumanTaskConfig Prelude.Natural humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural humanTaskConfig_taskTimeLimitInSeconds = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {Natural taskTimeLimitInSeconds :: Natural $sel:taskTimeLimitInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Natural taskTimeLimitInSeconds} -> Natural taskTimeLimitInSeconds) (\s :: HumanTaskConfig s@HumanTaskConfig' {} Natural a -> HumanTaskConfig s {$sel:taskTimeLimitInSeconds:HumanTaskConfig' :: Natural taskTimeLimitInSeconds = Natural a} :: HumanTaskConfig) -- | Configures how labels are consolidated across human workers. humanTaskConfig_annotationConsolidationConfig :: Lens.Lens' HumanTaskConfig AnnotationConsolidationConfig humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig humanTaskConfig_annotationConsolidationConfig = forall s a b t. (s -> a) -> (s -> b -> t) -> Lens s t a b Lens.lens (\HumanTaskConfig' {AnnotationConsolidationConfig annotationConsolidationConfig :: AnnotationConsolidationConfig $sel:annotationConsolidationConfig:HumanTaskConfig' :: HumanTaskConfig -> AnnotationConsolidationConfig annotationConsolidationConfig} -> AnnotationConsolidationConfig annotationConsolidationConfig) (\s :: HumanTaskConfig s@HumanTaskConfig' {} AnnotationConsolidationConfig a -> HumanTaskConfig s {$sel:annotationConsolidationConfig:HumanTaskConfig' :: AnnotationConsolidationConfig annotationConsolidationConfig = AnnotationConsolidationConfig a} :: HumanTaskConfig) instance Data.FromJSON HumanTaskConfig where parseJSON :: Value -> Parser HumanTaskConfig parseJSON = forall a. String -> (Object -> Parser a) -> Value -> Parser a Data.withObject String "HumanTaskConfig" ( \Object x -> Maybe Natural -> Maybe PublicWorkforceTaskPrice -> Maybe Natural -> Maybe (NonEmpty Text) -> Text -> UiConfig -> Text -> Text -> Text -> Natural -> Natural -> AnnotationConsolidationConfig -> HumanTaskConfig HumanTaskConfig' forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b Prelude.<$> (Object x forall a. FromJSON a => Object -> Key -> Parser (Maybe a) Data..:? Key "MaxConcurrentTaskCount") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser (Maybe a) Data..:? Key "PublicWorkforceTaskPrice") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser (Maybe a) Data..:? Key "TaskAvailabilityLifetimeInSeconds") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser (Maybe a) Data..:? Key "TaskKeywords") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "WorkteamArn") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "UiConfig") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "PreHumanTaskLambdaArn") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "TaskTitle") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "TaskDescription") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "NumberOfHumanWorkersPerDataObject") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "TaskTimeLimitInSeconds") forall (f :: * -> *) a b. Applicative f => f (a -> b) -> f a -> f b Prelude.<*> (Object x forall a. FromJSON a => Object -> Key -> Parser a Data..: Key "AnnotationConsolidationConfig") ) instance Prelude.Hashable HumanTaskConfig where hashWithSalt :: Int -> HumanTaskConfig -> Int hashWithSalt Int _salt HumanTaskConfig' {Natural Maybe Natural Maybe (NonEmpty Text) Maybe PublicWorkforceTaskPrice Text AnnotationConsolidationConfig UiConfig annotationConsolidationConfig :: AnnotationConsolidationConfig taskTimeLimitInSeconds :: Natural numberOfHumanWorkersPerDataObject :: Natural taskDescription :: Text taskTitle :: Text preHumanTaskLambdaArn :: Text uiConfig :: UiConfig workteamArn :: Text taskKeywords :: Maybe (NonEmpty Text) taskAvailabilityLifetimeInSeconds :: Maybe Natural publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice maxConcurrentTaskCount :: Maybe Natural $sel:annotationConsolidationConfig:HumanTaskConfig' :: HumanTaskConfig -> AnnotationConsolidationConfig $sel:taskTimeLimitInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:taskDescription:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskTitle:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:preHumanTaskLambdaArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:uiConfig:HumanTaskConfig' :: HumanTaskConfig -> UiConfig $sel:workteamArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskKeywords:HumanTaskConfig' :: HumanTaskConfig -> Maybe (NonEmpty Text) $sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural $sel:publicWorkforceTaskPrice:HumanTaskConfig' :: HumanTaskConfig -> Maybe PublicWorkforceTaskPrice $sel:maxConcurrentTaskCount:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural ..} = Int _salt forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Maybe Natural maxConcurrentTaskCount forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Maybe Natural taskAvailabilityLifetimeInSeconds forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Maybe (NonEmpty Text) taskKeywords forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Text workteamArn forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` UiConfig uiConfig forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Text preHumanTaskLambdaArn forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Text taskTitle forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Text taskDescription forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Natural numberOfHumanWorkersPerDataObject forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` Natural taskTimeLimitInSeconds forall a. Hashable a => Int -> a -> Int `Prelude.hashWithSalt` AnnotationConsolidationConfig annotationConsolidationConfig instance Prelude.NFData HumanTaskConfig where rnf :: HumanTaskConfig -> () rnf HumanTaskConfig' {Natural Maybe Natural Maybe (NonEmpty Text) Maybe PublicWorkforceTaskPrice Text AnnotationConsolidationConfig UiConfig annotationConsolidationConfig :: AnnotationConsolidationConfig taskTimeLimitInSeconds :: Natural numberOfHumanWorkersPerDataObject :: Natural taskDescription :: Text taskTitle :: Text preHumanTaskLambdaArn :: Text uiConfig :: UiConfig workteamArn :: Text taskKeywords :: Maybe (NonEmpty Text) taskAvailabilityLifetimeInSeconds :: Maybe Natural publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice maxConcurrentTaskCount :: Maybe Natural $sel:annotationConsolidationConfig:HumanTaskConfig' :: HumanTaskConfig -> AnnotationConsolidationConfig $sel:taskTimeLimitInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:taskDescription:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskTitle:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:preHumanTaskLambdaArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:uiConfig:HumanTaskConfig' :: HumanTaskConfig -> UiConfig $sel:workteamArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskKeywords:HumanTaskConfig' :: HumanTaskConfig -> Maybe (NonEmpty Text) $sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural $sel:publicWorkforceTaskPrice:HumanTaskConfig' :: HumanTaskConfig -> Maybe PublicWorkforceTaskPrice $sel:maxConcurrentTaskCount:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural ..} = forall a. NFData a => a -> () Prelude.rnf Maybe Natural maxConcurrentTaskCount seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Maybe Natural taskAvailabilityLifetimeInSeconds seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Maybe (NonEmpty Text) taskKeywords seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Text workteamArn seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf UiConfig uiConfig seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Text preHumanTaskLambdaArn seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Text taskTitle seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Text taskDescription seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Natural numberOfHumanWorkersPerDataObject seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf Natural taskTimeLimitInSeconds seq :: forall a b. a -> b -> b `Prelude.seq` forall a. NFData a => a -> () Prelude.rnf AnnotationConsolidationConfig annotationConsolidationConfig instance Data.ToJSON HumanTaskConfig where toJSON :: HumanTaskConfig -> Value toJSON HumanTaskConfig' {Natural Maybe Natural Maybe (NonEmpty Text) Maybe PublicWorkforceTaskPrice Text AnnotationConsolidationConfig UiConfig annotationConsolidationConfig :: AnnotationConsolidationConfig taskTimeLimitInSeconds :: Natural numberOfHumanWorkersPerDataObject :: Natural taskDescription :: Text taskTitle :: Text preHumanTaskLambdaArn :: Text uiConfig :: UiConfig workteamArn :: Text taskKeywords :: Maybe (NonEmpty Text) taskAvailabilityLifetimeInSeconds :: Maybe Natural publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice maxConcurrentTaskCount :: Maybe Natural $sel:annotationConsolidationConfig:HumanTaskConfig' :: HumanTaskConfig -> AnnotationConsolidationConfig $sel:taskTimeLimitInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig' :: HumanTaskConfig -> Natural $sel:taskDescription:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskTitle:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:preHumanTaskLambdaArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:uiConfig:HumanTaskConfig' :: HumanTaskConfig -> UiConfig $sel:workteamArn:HumanTaskConfig' :: HumanTaskConfig -> Text $sel:taskKeywords:HumanTaskConfig' :: HumanTaskConfig -> Maybe (NonEmpty Text) $sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural $sel:publicWorkforceTaskPrice:HumanTaskConfig' :: HumanTaskConfig -> Maybe PublicWorkforceTaskPrice $sel:maxConcurrentTaskCount:HumanTaskConfig' :: HumanTaskConfig -> Maybe Natural ..} = [Pair] -> Value Data.object ( forall a. [Maybe a] -> [a] Prelude.catMaybes [ (Key "MaxConcurrentTaskCount" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b Prelude.<$> Maybe Natural maxConcurrentTaskCount, (Key "PublicWorkforceTaskPrice" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b Prelude.<$> Maybe PublicWorkforceTaskPrice publicWorkforceTaskPrice, (Key "TaskAvailabilityLifetimeInSeconds" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b Prelude.<$> Maybe Natural taskAvailabilityLifetimeInSeconds, (Key "TaskKeywords" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..=) forall (f :: * -> *) a b. Functor f => (a -> b) -> f a -> f b Prelude.<$> Maybe (NonEmpty Text) taskKeywords, forall a. a -> Maybe a Prelude.Just (Key "WorkteamArn" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Text workteamArn), forall a. a -> Maybe a Prelude.Just (Key "UiConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= UiConfig uiConfig), forall a. a -> Maybe a Prelude.Just ( Key "PreHumanTaskLambdaArn" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Text preHumanTaskLambdaArn ), forall a. a -> Maybe a Prelude.Just (Key "TaskTitle" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Text taskTitle), forall a. a -> Maybe a Prelude.Just (Key "TaskDescription" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Text taskDescription), forall a. a -> Maybe a Prelude.Just ( Key "NumberOfHumanWorkersPerDataObject" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Natural numberOfHumanWorkersPerDataObject ), forall a. a -> Maybe a Prelude.Just ( Key "TaskTimeLimitInSeconds" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= Natural taskTimeLimitInSeconds ), forall a. a -> Maybe a Prelude.Just ( Key "AnnotationConsolidationConfig" forall kv v. (KeyValue kv, ToJSON v) => Key -> v -> kv Data..= AnnotationConsolidationConfig annotationConsolidationConfig ) ] )