Struct rusoto_sagemaker::HumanTaskConfig

pub struct HumanTaskConfig {
    pub annotation_consolidation_config: AnnotationConsolidationConfig,
    pub max_concurrent_task_count: Option<i64>,
    pub number_of_human_workers_per_data_object: i64,
    pub pre_human_task_lambda_arn: String,
    pub public_workforce_task_price: Option<PublicWorkforceTaskPrice>,
    pub task_availability_lifetime_in_seconds: Option<i64>,
    pub task_description: String,
    pub task_keywords: Option<Vec<String>>,
    pub task_time_limit_in_seconds: i64,
    pub task_title: String,
    pub ui_config: UiConfig,
    pub workteam_arn: String,
}

Information required for human workers to complete a labeling task.

Fields

annotation_consolidation_config: AnnotationConsolidationConfig

Configures how labels are consolidated across human workers.

max_concurrent_task_count: Option<i64>

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.

number_of_human_workers_per_data_object: i64

The number of human workers that will label an object.

pre_human_task_lambda_arn: String

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: Option<PublicWorkforceTaskPrice>

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

task_availability_lifetime_in_seconds: Option<i64>

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

• If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).

• If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact AWS Support.

task_description: String

A description of the task for your human workers.

task_keywords: Option<Vec<String>>

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

task_time_limit_in_seconds: i64

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

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

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

• For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).

• For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact AWS Support.

task_title: String

A title for the task for your human workers.

ui_config: UiConfig

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

workteam_arn: String

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

Trait Implementations

impl Clone for HumanTaskConfig

fn clone(&self) -> HumanTaskConfig

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for HumanTaskConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for HumanTaskConfig

fn default() -> HumanTaskConfig

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for HumanTaskConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<HumanTaskConfig> for HumanTaskConfig

fn eq(&self, other: &HumanTaskConfig) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &HumanTaskConfig) -> bool

This method tests for !=.

impl Serialize for HumanTaskConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for HumanTaskConfig