Smaws_Client_Rekognition.CreateDatasetThis 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.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `AccessDeniedException of Types.access_denied_exception
| `InternalServerError of Types.internal_server_error
| `InvalidParameterException of Types.invalid_parameter_exception
| `InvalidS3ObjectException of Types.invalid_s3_object_exception
| `LimitExceededException of Types.limit_exceeded_exception
| `ProvisionedThroughputExceededException of
Types.provisioned_throughput_exceeded_exception
| `ResourceAlreadyExistsException of Types.resource_already_exists_exception
| `ResourceNotFoundException of Types.resource_not_found_exception
| `ThrottlingException of Types.throttling_exception ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.create_dataset_request ->
(Types.create_dataset_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `AccessDeniedException of Types.access_denied_exception
| `InternalServerError of Types.internal_server_error
| `InvalidParameterException of Types.invalid_parameter_exception
| `InvalidS3ObjectException of Types.invalid_s3_object_exception
| `LimitExceededException of Types.limit_exceeded_exception
| `ProvisionedThroughputExceededException of
Types.provisioned_throughput_exceeded_exception
| `ResourceAlreadyExistsException of
Types.resource_already_exists_exception
| `ResourceNotFoundException of Types.resource_not_found_exception
| `ThrottlingException of Types.throttling_exception ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.create_dataset_request ->
(Types.create_dataset_response Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `AccessDeniedException of Types.access_denied_exception
| `InternalServerError of Types.internal_server_error
| `InvalidParameterException of Types.invalid_parameter_exception
| `InvalidS3ObjectException of Types.invalid_s3_object_exception
| `LimitExceededException of Types.limit_exceeded_exception
| `ProvisionedThroughputExceededException of
Types.provisioned_throughput_exceeded_exception
| `ResourceAlreadyExistsException of
Types.resource_already_exists_exception
| `ResourceNotFoundException of Types.resource_not_found_exception
| `ThrottlingException of Types.throttling_exception ]
* Smaws_Lib.Response.metadata)
Stdlib.result