/*
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License").
* You may not use this file except in compliance with the License.
* A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed
* on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
* express or implied. See the License for the specific language governing
* permissions and limitations under the License.
*/
/*
* Do not modify this file. This file is generated from the rekognition-2016-06-27.normal.json service model.
*/
using System;
using System.Collections.Generic;
using System.Xml.Serialization;
using System.Text;
using System.IO;
using System.Net;
using Amazon.Runtime;
using Amazon.Runtime.Internal;
namespace Amazon.Rekognition.Model
{
///
/// Container for the parameters to the CreateDataset operation.
/// 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.
///
///
public partial class CreateDatasetRequest : AmazonRekognitionRequest
{
private DatasetSource _datasetSource;
private DatasetType _datasetType;
private string _projectArn;
///
/// Gets and sets the property DatasetSource.
///
/// The source files for the dataset. You can specify the ARN of an existing dataset
/// or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file.
/// If you don't specify datasetSource
, an empty dataset is created. To add
/// labeled images to the dataset, You can use the console or call UpdateDatasetEntries.
///
///
///
public DatasetSource DatasetSource
{
get { return this._datasetSource; }
set { this._datasetSource = value; }
}
// Check to see if DatasetSource property is set
internal bool IsSetDatasetSource()
{
return this._datasetSource != null;
}
///
/// Gets and sets the property DatasetType.
///
/// The type of the dataset. Specify train
to create a training dataset.
/// Specify test
to create a test dataset.
///
///
[AWSProperty(Required=true)]
public DatasetType DatasetType
{
get { return this._datasetType; }
set { this._datasetType = value; }
}
// Check to see if DatasetType property is set
internal bool IsSetDatasetType()
{
return this._datasetType != null;
}
///
/// Gets and sets the property ProjectArn.
///
/// The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign
/// the dataset.
///
///
[AWSProperty(Required=true, Min=20, Max=2048)]
public string ProjectArn
{
get { return this._projectArn; }
set { this._projectArn = value; }
}
// Check to see if ProjectArn property is set
internal bool IsSetProjectArn()
{
return this._projectArn != null;
}
}
}