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.
Contents
- DatasetArn
-
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
- GroundTruthManifest
-
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:
