AWS::Rekognition::Dataset

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 datasets.

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.

Syntax

To declare this entity in your CloudFormation template, use the following syntax:

{
  "Type" : "AWS::Rekognition::Dataset",
  "Properties" : {
      "DatasetType" : String,
      "ProjectArn" : String,
      "Tags" : [ Tag, ... ]
    }
}

Type: AWS::Rekognition::Dataset
Properties:
  DatasetType: String
  ProjectArn: String
  Tags: 
    - Tag

Properties

Return values

Ref

Fn::GetAtt