Class: Aws::Rekognition::Types::DatasetSource
- Inherits:
-
Struct
- Object
- Struct
- Aws::Rekognition::Types::DatasetSource
- Defined in:
- gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb
Overview
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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#dataset_arn ⇒ String
The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.
-
#ground_truth_manifest ⇒ Types::GroundTruthManifest
The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.
Instance Attribute Details
#dataset_arn ⇒ String
The ARN of an Amazon Rekognition Custom Labels dataset that you want to copy.
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# File 'gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb', line 1547 class DatasetSource < Struct.new( :ground_truth_manifest, :dataset_arn) SENSITIVE = [] include Aws::Structure end |
#ground_truth_manifest ⇒ Types::GroundTruthManifest
The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.
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# File 'gems/aws-sdk-rekognition/lib/aws-sdk-rekognition/types.rb', line 1547 class DatasetSource < Struct.new( :ground_truth_manifest, :dataset_arn) SENSITIVE = [] include Aws::Structure end |