DatasetSource - Amazon Rekognition


The source that Amazon Rekognition Custom Labels uses to create a dataset. To use an Amazon Sagemaker format manifest file, specify the S3 bucket location in the GroundTruthManifest field. The S3 bucket must be in your AWS account. To create a copy of an existing dataset, specify the Amazon Resource Name (ARN) of an existing dataset in DatasetArn.

You need to specify a value for DatasetArn or GroundTruthManifest, but not both. if you supply both values, or if you don't specify any values, an InvalidParameterException exception occurs.

For more information, see CreateDataset.



The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.

Type: String

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

Pattern: (^arn:[a-z\d-]+:rekognition:[a-z\d-]+:\d{12}:project\/[a-zA-Z0-9_.\-]{1,255}\/dataset\/(train|test)\/[0-9]+$)

Required: No


The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.

Type: GroundTruthManifest object

Required: No

See Also

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