v1

latestOpenAPI 3.0.0Apache 2.0 License2026-07-1465453454.1 KB

Creates a new Amazon Rekognition Custom Labels dataset. You can create a dataset by using an Amazon Sagemaker format manifest file or by copying an existing Amazon Rekognition Custom Labels dataset.

To create a training dataset for a project, specify train for the value of DatasetType. To create the test dataset for a project, specify test for the value of DatasetType.

The response from CreateDataset is the Amazon Resource Name (ARN) for the dataset. Creating a dataset takes a while to complete. Use DescribeDataset to check the current status. The dataset created successfully if the value of Status is CREATE_COMPLETE.

To check if any non-terminal errors occurred, call ListDatasetEntries and check for the presence of errors lists in the JSON Lines.

Dataset creation fails if a terminal error occurs (Status = CREATE_FAILED). Currently, you can't access the terminal error information.

For more information, see Creating dataset in the Amazon Rekognition Custom Labels Developer Guide.

This operation requires permissions to perform the rekognition:CreateDataset action. If you want to copy an existing dataset, you also require permission to perform the rekognition:ListDatasetEntries action.

post/#X-Amz-Target=RekognitionService.CreateDataset

Headers

X-Amz-Target'RekognitionService.CreateDataset' required

Request body

DatasetType'TRAIN' | 'TEST' required

The type of the dataset. Specify <code>train</code> to create a training dataset. Specify <code>test</code> to create a test dataset.

ProjectArnstring required

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

Response

Success

DatasetArnstring

The ARN of the created Amazon Rekognition Custom Labels dataset.