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aws_sagemaker_labelingjob

`account_id`

Type: STRING

`creation_time`

Type: TIMESTAMP
Provider name: CreationTime
Description: The date and time that the labeling job was created.

`failure_reason`

Type: STRING
Provider name: FailureReason
Description: If the job failed, the reason that it failed.

`human_task_config`

Type: STRUCT
Provider name: HumanTaskConfig
Description: Configuration information required for human workers to complete a labeling task.

annotation_consolidation_config
Type: STRUCT
Provider name: AnnotationConsolidationConfig
Description: Configures how labels are consolidated across human workers.
- annotation_consolidation_lambda_arn
  Type: STRING
  Provider name: AnnotationConsolidationLambdaArn
  Description: The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-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:ACS-BoundingBox
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-ImageMultiClass
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-SemanticSegmentation
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-TextMultiClass
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel
  Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
  - arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-VideoMultiClass
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-VideoObjectDetection
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-VideoObjectTracking
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking
  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:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation
  Use the following ARNs for Label Verification and Adjustment Jobs Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels . 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:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
  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:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
  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:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
  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:ACS-VerificationBoundingBox
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
  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:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-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:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking
  3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.
  - arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection
  3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.
  - arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking
  3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.
  - arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
  - arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  - arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation
max_concurrent_task_count
Type: INT32
Provider name: MaxConcurrentTaskCount
Description: 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.
number_of_human_workers_per_data_object
Type: INT32
Provider name: NumberOfHumanWorkersPerDataObject
Description: The number of human workers that will label an object.
pre_human_task_lambda_arn
Type: STRING
Provider name: PreHumanTaskLambdaArn
Description: The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda. Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
- arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
- arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
- arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
- arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as “votes” for the correct label.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
- arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
- arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
- arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
- arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
- arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
- arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
- arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
- arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass
Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
- arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
- arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection
Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
- arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
- arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking
3D Point Cloud Modalities Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more. 3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection
3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking
3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation
Use the following ARNs for Label Verification and Adjustment Jobs Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels . Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
- arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
- arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as “votes” for the correct label.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection
Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking
3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection
3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking
3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.
- arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
- arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
public_workforce_task_price
Type: STRUCT
Provider name: PublicWorkforceTaskPrice
Description: The price that you pay for each task performed by an Amazon Mechanical Turk worker.
- amount_in_usd
  Type: STRUCT
  Provider name: AmountInUsd
  Description: Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
  - cents
    Type: INT32
    Provider name: Cents
    Description: The fractional portion, in cents, of the amount.
  - dollars
    Type: INT32
    Provider name: Dollars
    Description: The whole number of dollars in the amount.
  - tenth_fractions_of_a_cent
    Type: INT32
    Provider name: TenthFractionsOfACent
    Description: Fractions of a cent, in tenths.
task_availability_lifetime_in_seconds
Type: INT32
Provider name: TaskAvailabilityLifetimeInSeconds
Description: 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.
task_description
Type: STRING
Provider name: TaskDescription
Description: A description of the task for your human workers.
task_keywords
Type: UNORDERED_LIST_STRING
Provider name: TaskKeywords
Description: Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
task_time_limit_in_seconds
Type: INT32
Provider name: TaskTimeLimitInSeconds
Description: The amount of time that a worker has to complete a task. If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds). If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
- For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
- For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
task_title
Type: STRING
Provider name: TaskTitle
Description: A title for the task for your human workers.
ui_config
Type: STRUCT
Provider name: UiConfig
Description: Information about the user interface that workers use to complete the labeling task.
- human_task_ui_arn
  Type: STRING
  Provider name: HumanTaskUiArn
  Description: The ARN of the worker task template used to render the worker UI and tools for labeling job tasks. Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California). Named Entity Recognition Use the following HumanTaskUiArn for named entity recognition labeling jobs: arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition 3D Point Cloud HumanTaskUiArns Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.
  - arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
  Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.
  - arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
  Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.
  - arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
  Video Frame HumanTaskUiArns Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.
  - arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection
  Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.
  - arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
- ui_template_s3_uri
  Type: STRING
  Provider name: UiTemplateS3Uri
  Description: The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.
workteam_arn
Type: STRING
Provider name: WorkteamArn
Description: The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

`input_config`

Type: STRUCT
Provider name: InputConfig
Description: Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.

data_attributes
Type: STRUCT
Provider name: DataAttributes
Description: Attributes of the data specified by the customer.
- content_classifiers
  Type: UNORDERED_LIST_STRING
  Provider name: ContentClassifiers
  Description: Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
data_source
Type: STRUCT
Provider name: DataSource
Description: The location of the input data.
- s3_data_source
  Type: STRUCT
  Provider name: S3DataSource
  Description: The Amazon S3 location of the input data objects.
  - manifest_s3_uri
    Type: STRING
    Provider name: ManifestS3Uri
    Description: The Amazon S3 location of the manifest file that describes the input data objects. The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:
    - source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
    - source: The source of the object is the value. Use this value when the object is a text value.
    If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.
- sns_data_source
  Type: STRUCT
  Provider name: SnsDataSource
  Description: An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.
  - sns_topic_arn
    Type: STRING
    Provider name: SnsTopicArn
    Description: The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

`job_reference_code`

Type: STRING
Provider name: JobReferenceCode
Description: A unique identifier for work done as part of a labeling job.

`label_attribute_name`

Type: STRING
Provider name: LabelAttributeName
Description: The attribute used as the label in the output manifest file.

`label_category_config_s3_uri`

Type: STRING
Provider name: LabelCategoryConfigS3Uri
Description: The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:

Semantic segmentation labeling jobs using automated labeling: 20 labels
Box bounding labeling jobs (all): 10 labels

The file is a JSON structure in the following format: { “document-version”: “2018-11-28” “labels”: [ { “label”: “label 1" }, { “label”: “label 2" }, … { “label”: “label n" } ] }

`label_counters`

Type: STRUCT
Provider name: LabelCounters
Description: Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn’t be labeled, and the total number of objects labeled.

failed_non_retryable_error
Type: INT32
Provider name: FailedNonRetryableError
Description: The total number of objects that could not be labeled due to an error.
human_labeled
Type: INT32
Provider name: HumanLabeled
Description: The total number of objects labeled by a human worker.
machine_labeled
Type: INT32
Provider name: MachineLabeled
Description: The total number of objects labeled by automated data labeling.
total_labeled
Type: INT32
Provider name: TotalLabeled
Description: The total number of objects labeled.
unlabeled
Type: INT32
Provider name: Unlabeled
Description: The total number of objects not yet labeled.

`labeling_job_algorithms_config`

Type: STRUCT
Provider name: LabelingJobAlgorithmsConfig
Description: Configuration information for automated data labeling.

initial_active_learning_model_arn
Type: STRING
Provider name: InitialActiveLearningModelArn
Description: At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
labeling_job_algorithm_specification_arn
Type: STRING
Provider name: LabelingJobAlgorithmSpecificationArn
Description: Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
- Image classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
- Text classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
- Object detection arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
- Semantic Segmentation arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
labeling_job_resource_config
Type: STRUCT
Provider name: LabelingJobResourceConfig
Description: Provides configuration information for a labeling job.
- volume_kms_key_id
  Type: STRING
  Provider name: VolumeKmsKeyId
  Description: The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling. You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption. The VolumeKmsKeyId can be any of the following formats:
  - KMS Key ID “1234abcd-12ab-34cd-56ef-1234567890ab”
  - Amazon Resource Name (ARN) of a KMS Key “arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab”
- vpc_config
  Type: STRUCT
  Provider name: VpcConfig
  - security_group_ids
    Type: UNORDERED_LIST_STRING
    Provider name: SecurityGroupIds
    Description: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
  - subnets
    Type: UNORDERED_LIST_STRING
    Provider name: Subnets
    Description: The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

`labeling_job_arn`

Type: STRING
Provider name: LabelingJobArn
Description: The Amazon Resource Name (ARN) of the labeling job.

`labeling_job_name`

Type: STRING
Provider name: LabelingJobName
Description: The name assigned to the labeling job when it was created.

`labeling_job_output`

Type: STRUCT
Provider name: LabelingJobOutput
Description: The location of the output produced by the labeling job.

final_active_learning_model_arn
Type: STRING
Provider name: FinalActiveLearningModelArn
Description: The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.
output_dataset_s3_uri
Type: STRING
Provider name: OutputDatasetS3Uri
Description: The Amazon S3 bucket location of the manifest file for labeled data.

`labeling_job_status`

Type: STRING
Provider name: LabelingJobStatus
Description: The processing status of the labeling job.

`last_modified_time`

Type: TIMESTAMP
Provider name: LastModifiedTime
Description: The date and time that the labeling job was last updated.

`output_config`

Type: STRUCT
Provider name: OutputConfig
Description: The location of the job’s output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.

kms_key_id
Type: STRING
Provider name: KmsKeyId
Description: The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any. If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS. If you don’t provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role’s account to encrypt your output data. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to “aws:kms”. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
s3_output_path
Type: STRING
Provider name: S3OutputPath
Description: The Amazon S3 location to write output data.
sns_topic_arn
Type: STRING
Provider name: SnsTopicArn
Description: An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker. If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here. To learn more, see Receive Output Data from a Streaming Labeling Job.

`role_arn`

Type: STRING
Provider name: RoleArn
Description: The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.

`stopping_conditions`

Type: STRUCT
Provider name: StoppingConditions
Description: A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.

max_human_labeled_object_count
Type: INT32
Provider name: MaxHumanLabeledObjectCount
Description: The maximum number of objects that can be labeled by human workers.
max_percentage_of_input_dataset_labeled
Type: INT32
Provider name: MaxPercentageOfInputDatasetLabeled
Description: The maximum number of input data objects that should be labeled.

`tags`

Type: UNORDERED_LIST_STRING