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This operation applies only to Amazon Rekognition Custom Labels.
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.
For .NET Core this operation is only available in asynchronous form. Please refer to CreateDatasetAsync.
Namespace: Amazon.Rekognition
Assembly: AWSSDK.Rekognition.dll
Version: 3.x.y.z
public virtual CreateDatasetResponse CreateDataset( CreateDatasetRequest request )
Container for the necessary parameters to execute the CreateDataset service method.
Exception | Condition |
---|---|
AccessDeniedException | You are not authorized to perform the action. |
InternalServerErrorException | Amazon Rekognition experienced a service issue. Try your call again. |
InvalidParameterException | Input parameter violated a constraint. Validate your parameter before calling the API operation again. |
InvalidS3ObjectException | Amazon Rekognition is unable to access the S3 object specified in the request. |
LimitExceededException | An Amazon Rekognition service limit was exceeded. For example, if you start too many jobs concurrently, subsequent calls to start operations (ex: StartLabelDetection) will raise a LimitExceededException exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Rekognition service limit. |
ProvisionedThroughputExceededException | The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition. |
ResourceAlreadyExistsException | A resource with the specified ID already exists. |
ResourceNotFoundException | The resource specified in the request cannot be found. |
ThrottlingException | Amazon Rekognition is temporarily unable to process the request. Try your call again. |
Creates an Amazon Rekognition Custom Labels dataset with a manifest file stored in an Amazon S3 bucket.
var client = new AmazonRekognitionClient(); var response = client.CreateDataset(new CreateDatasetRequest { DatasetSource = new DatasetSource { GroundTruthManifest = new GroundTruthManifest { S3Object = new S3Object { Bucket = "my-bucket", Name = "datasets/flowers_training/manifests/output/output.manifest" } } }, DatasetType = "TRAIN", ProjectArn = "arn:aws:rekognition:us-east-1:111122223333:project/my-project/1690474772815" }); string datasetArn = response.DatasetArn;
.NET Framework:
Supported in: 4.5 and newer, 3.5