LabelingJobAlgorithmsConfig - Amazon SageMaker
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LabelingJobAlgorithmsConfig

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

Contents

LabelingJobAlgorithmSpecificationArn

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

Type: String

Length Constraints: Maximum length of 2048.

Pattern: arn:.*

Required: Yes

InitialActiveLearningModelArn

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.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model/.*

Required: No

LabelingJobResourceConfig

Provides configuration information for a labeling job.

Type: LabelingJobResourceConfig object

Required: No

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: