aws.sagemaker.describe_labeling_job

Example SQL Queries

SELECT * FROM
aws.sagemaker.describe_labeling_job
WHERE
"labeling_job_name" = 'VALUE';

Description

Gets information about a labeling job.

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Table Definition

Column Name	Column Data Type
labeling_job_name Required Input Column The name assigned to the labeling job when it was created.	VARCHAR
_aws_profile Input Column The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role.	STRUCT( "type" VARCHAR, "name" VARCHAR, "account_id" VARCHAR, "via_profile_name" VARCHAR, "assumed_role_arn" VARCHAR, "organization" STRUCT( "account_name" VARCHAR, "id" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[], "master_account" STRUCT( "id" VARCHAR, "email" VARCHAR ), "parents" STRUCT( "type" VARCHAR, "id" VARCHAR, "name" VARCHAR, "tags" STRUCT( "key" VARCHAR, "value" VARCHAR )[] )[] ) )
Show child fields _aws_profile.account_id The AWS account id _aws_profile.assumed_role_arn The ARN of the assumed role _aws_profile.name The unique name of the profile. _aws_profile.organization Information about this profile's membership in the AWS organization. Show child fields _aws_profile.organization.account_name The name of account speciifed by the organization _aws_profile.organization.id The organization id _aws_profile.organization.master_account Show child fields _aws_profile.organization.master_account.email The organization master account email address _aws_profile.organization.master_account.id The organization master account id _aws_profile.organization.parents[] Show child fields _aws_profile.organization.parents[].id The id of the parent _aws_profile.organization.parents[].name The name of the parent _aws_profile.organization.parents[].tags[] Show child fields _aws_profile.organization.parents[].tags[].key _aws_profile.organization.parents[].tags[].value _aws_profile.organization.parents[].type The type of parent can be an organization unit or a root _aws_profile.organization.tags[] Show child fields _aws_profile.organization.tags[].key _aws_profile.organization.tags[].value _aws_profile.type The type of profile, either 'credentials' or 'assumed_role' _aws_profile.via_profile_name This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
creation_time The date and time that the labeling job was created.	TIMESTAMP_S
failure_reason If the job failed, the reason that it failed.	VARCHAR
human_task_config Configuration information required for human workers to complete a labeling task.	STRUCT( "workteam_arn" VARCHAR, "ui_config" STRUCT( "ui_template_s3_uri" VARCHAR, "human_task_ui_arn" VARCHAR ), "pre_human_task_lambda_arn" VARCHAR, "task_keywords" VARCHAR[], "task_title" VARCHAR, "task_description" VARCHAR, "number_of_human_workers_per_data_object" BIGINT, "task_time_limit_in_seconds" BIGINT, "task_availability_lifetime_in_seconds" BIGINT, "max_concurrent_task_count" BIGINT, "annotation_consolidation_config" STRUCT( "annotation_consolidation_lambda_arn" VARCHAR ), "public_workforce_task_price" STRUCT( "amount_in_usd" STRUCT( "dollars" BIGINT, "cents" BIGINT, "tenth_fractions_of_a_cent" BIGINT ) ) )
Show child fields human_task_config.annotation_consolidation_config Configures how labels are consolidated across human workers. Show child fields human_task_config.annotation_consolidation_config.annotation_consolidation_lambda_arn The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data. This parameter is required for all labeling jobs. 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 human_task_config.max_concurrent_task_count 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. human_task_config.number_of_human_workers_per_data_object The number of human workers that will label an object. human_task_config.pre_human_task_lambda_arn 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 human_task_config.public_workforce_task_price The price that you pay for each task performed by an Amazon Mechanical Turk worker. Show child fields human_task_config.public_workforce_task_price.amount_in_usd Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars. Show child fields human_task_config.public_workforce_task_price.amount_in_usd.cents The fractional portion, in cents, of the amount. human_task_config.public_workforce_task_price.amount_in_usd.dollars The whole number of dollars in the amount. human_task_config.public_workforce_task_price.amount_in_usd.tenth_fractions_of_a_cent Fractions of a cent, in tenths. human_task_config.task_availability_lifetime_in_seconds 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. human_task_config.task_description A description of the task for your human workers. human_task_config.task_keywords[] human_task_config.task_time_limit_in_seconds 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. human_task_config.task_title A title for the task for your human workers. human_task_config.ui_config Information about the user interface that workers use to complete the labeling task. Show child fields human_task_config.ui_config.human_task_ui_arn 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 human_task_config.ui_config.ui_template_s3_uri 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. human_task_config.workteam_arn The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
input_config 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.	STRUCT( "data_source" STRUCT( "s3_data_source" STRUCT( "manifest_s3_uri" VARCHAR ), "sns_data_source" STRUCT( "sns_topic_arn" VARCHAR ) ), "data_attributes" STRUCT( "content_classifiers" VARCHAR[] ) )
Show child fields input_config.data_attributes Attributes of the data specified by the customer. Show child fields input_config.data_attributes.content_classifiers[] input_config.data_source The location of the input data. Show child fields input_config.data_source.s3_data_source The Amazon S3 location of the input data objects. Show child fields input_config.data_source.s3_data_source.manifest_s3_uri 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. input_config.data_source.sns_data_source An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job. Show child fields input_config.data_source.sns_data_source.sns_topic_arn 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 A unique identifier for work done as part of a labeling job.	VARCHAR
label_attribute_name The attribute used as the label in the output manifest file.	VARCHAR
label_category_config_s3_uri 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" } ] }	VARCHAR
label_counters 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.	STRUCT( "total_labeled" BIGINT, "human_labeled" BIGINT, "machine_labeled" BIGINT, "failed_non_retryable_error" BIGINT, "unlabeled" BIGINT )
Show child fields label_counters.failed_non_retryable_error The total number of objects that could not be labeled due to an error. label_counters.human_labeled The total number of objects labeled by a human worker. label_counters.machine_labeled The total number of objects labeled by automated data labeling. label_counters.total_labeled The total number of objects labeled. label_counters.unlabeled The total number of objects not yet labeled.
labeling_job_algorithms_config Configuration information for automated data labeling.	STRUCT( "labeling_job_algorithm_specification_arn" VARCHAR, "initial_active_learning_model_arn" VARCHAR, "labeling_job_resource_config" STRUCT( "volume_kms_key_id" VARCHAR, "vpc_config" STRUCT( "security_group_ids" VARCHAR[], "subnets" VARCHAR[] ) ) )
Show child fields labeling_job_algorithms_config.initial_active_learning_model_arn 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_algorithms_config.labeling_job_algorithm_specification_arn 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_algorithms_config.labeling_job_resource_config Provides configuration information for a labeling job. Show child fields labeling_job_algorithms_config.labeling_job_resource_config.volume_kms_key_id 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" labeling_job_algorithms_config.labeling_job_resource_config.vpc_config Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to. You can control access to and from your resources by configuring a VPC. For more information, see Give SageMaker Access to Resources in your Amazon VPC. Show child fields labeling_job_algorithms_config.labeling_job_resource_config.vpc_config.security_group_ids[] labeling_job_algorithms_config.labeling_job_resource_config.vpc_config.subnets[]
labeling_job_arn The Amazon Resource Name (ARN) of the labeling job.	VARCHAR
labeling_job_output The location of the output produced by the labeling job.	STRUCT( "output_dataset_s3_uri" VARCHAR, "final_active_learning_model_arn" VARCHAR )
Show child fields labeling_job_output.final_active_learning_model_arn The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling. labeling_job_output.output_dataset_s3_uri The Amazon S3 bucket location of the manifest file for labeled data.
labeling_job_status The processing status of the labeling job.	VARCHAR
last_modified_time The date and time that the labeling job was last updated.	TIMESTAMP_S
output_config 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.	STRUCT( "s3_output_path" VARCHAR, "kms_key_id" VARCHAR, "sns_topic_arn" VARCHAR )
Show child fields output_config.kms_key_id 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. output_config.s3_output_path The Amazon S3 location to write output data. output_config.sns_topic_arn 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 The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during data labeling.	VARCHAR
stopping_conditions A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.	STRUCT( "max_human_labeled_object_count" BIGINT, "max_percentage_of_input_dataset_labeled" BIGINT )
Show child fields stopping_conditions.max_human_labeled_object_count The maximum number of objects that can be labeled by human workers. stopping_conditions.max_percentage_of_input_dataset_labeled The maximum number of input data objects that should be labeled.
tags An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.	STRUCT( "key" VARCHAR, "value" VARCHAR )[]
Show child fields tags[] Show child fields tags[].key The tag key. Tag keys must be unique per resource. tags[].value The tag value.

Note

Tables may require input columns to have values specified before the table can return it’s rows. The values for input parameters are set in the where clause of the query typically using = or IN.