# Deleting a dataset


You can delete the training and test datasets from a project. 

**Topics**
+ [

## Deleting a dataset (Console)
](#md-delete-dataset-console)
+ [

## Deleting an Amazon Rekognition Custom Labels dataset (SDK)
](#md-delete-dataset-sdk)

## Deleting a dataset (Console)


Use the following procedure to delete a dataset. Afterwards, if the project has one remaining dataset (train or test), the project details page is shown. If the project has no remaining datasets, the **Create dataset** page is shown. 

If you delete the training dataset, you must create a new training dataset for the project before you can train a model. For more information, see [Creating training and test datasets with images](md-create-dataset.md). 

If you delete the test dataset, you can train a model without creating a new test dataset. During training, the training dataset is split to create a new test dataset for the project. Splitting the training dataset reduces the number of images available for training. To maintain quality, we recommend creating a new test dataset before training a model. For more information, see [Adding a dataset to a project](md-add-dataset.md).

**To delete a dataset**

1. Open the Amazon Rekognition console at [https://console.aws.amazon.com/rekognition/](https://console.aws.amazon.com/rekognition/).

1. In the left pane, choose Use **Custom Labels**. The Amazon Rekognition Custom Labels landing page is shown. 

1. In the left navigation pane, choose **Projects**. The Projects view is shown.

1. Choose the project that contains the dataset that you want to delete. 

1. In the left navigation pane, under the project name, choose **Dataset**

1. Choose **Actions**

1. To delete the training dataset, choose **Delete training dataset.**

1. To delete the test dataset, choose **Delete test dataset.**

1. In the **Delete *train or test* dataset** dialog box, enter **delete** to confirm that you want to delete the dataset.

1. Choose **Delete *train or test* dataset** to delete the dataset. 

## Deleting an Amazon Rekognition Custom Labels dataset (SDK)
Deleting a dataset (SDK)

You delete an Amazon Rekognition Custom Labels dataset by calling [DeleteDataset](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DeleteDataset) and supplying the Amazon Resource Name (ARN) of the dataset that you want to delete. To get the ARNs of the training and test datasets within a project, call [DescribeProjects](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_DescribeProjects). The response includes an array of [ProjectDescription](https://docs.aws.amazon.com/rekognition/latest/APIReference/API_ProjectDescription) objects. The dataset ARNs (`DatasetArn`) and dataset types (`DatasetType`) are in the `Datasets` list. 

If you delete the training dataset, you need to create a new training dataset for the project before you can train a model. If you delete the test dataset, you need to create a new test dataset before you can train the model. For more information, see [Adding a dataset to a project (SDK)](md-add-dataset.md#md-add-dataset-sdk).

**To delete a dataset (SDK)**

1. If you haven't already done so, install and configure the AWS CLI and the AWS SDKs. For more information, see [Step 4: Set up the AWS CLI and AWS SDKs](su-awscli-sdk.md).

1. Use the following code to delete a dataset. 

------
#### [ AWS CLI ]

   Change the value of `dataset-arn` with the ARN of the dataset that you want to delete.

   ```
   aws rekognition delete-dataset --dataset-arn dataset-arn \
     --profile custom-labels-access
   ```

------
#### [ Python ]

   Use the following code. Supply the following command line parameters:
   + dataset\$1arn — the ARN of the dataset that you want to delete.

   ```
   # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
   # SPDX-License-Identifier: Apache-2.0
   
   """
   Purpose
   Shows how to delete an Amazon Rekognition Custom Labels dataset.
   """
   import argparse
   import logging
   import time
   import boto3
   
   from botocore.exceptions import ClientError
   
   logger = logging.getLogger(__name__)
   
   
   def delete_dataset(rek_client, dataset_arn):
       """
       Deletes an Amazon Rekognition Custom Labels dataset.
       :param rek_client: The Amazon Rekognition Custom Labels Boto3 client.
       :param dataset_arn: The ARN of the dataset that you want to delete.
       """
   
       try:
           # Delete the dataset,
           logger.info("Deleting dataset: %s", dataset_arn)
   
           rek_client.delete_dataset(DatasetArn=dataset_arn)
   
           deleted = False
   
           logger.info("waiting for dataset deletion %s", dataset_arn)
   
           # Dataset might not be deleted yet, so wait.
           while deleted is False:
               try:
                   rek_client.describe_dataset(DatasetArn=dataset_arn)
                   time.sleep(5)
               except ClientError as err:
                   if err.response['Error']['Code'] == 'ResourceNotFoundException':
                       logger.info("dataset deleted: %s", dataset_arn)
                       deleted = True
                   else:
                       raise
   
           logger.info("dataset deleted: %s", dataset_arn)
   
           return True
   
       except ClientError as err:
           logger.exception("Couldn't delete dataset - %s: %s",
                            dataset_arn, err.response['Error']['Message'])
           raise
   
   
   def add_arguments(parser):
       """
       Adds command line arguments to the parser.
       :param parser: The command line parser.
       """
   
       parser.add_argument(
           "dataset_arn", help="The ARN of the dataset that you want to delete."
       )
   
   
   def main():
   
       logging.basicConfig(level=logging.INFO,
                           format="%(levelname)s: %(message)s")
   
       try:
   
           # Get command line arguments.
           parser = argparse.ArgumentParser(usage=argparse.SUPPRESS)
           add_arguments(parser)
           args = parser.parse_args()
   
           print(f"Deleting dataset: {args.dataset_arn}")
   
           # Delete the dataset.
           session = boto3.Session(profile_name='custom-labels-access')
           rekognition_client = session.client("rekognition")
   
           delete_dataset(rekognition_client,
                          args.dataset_arn)
   
           print(f"Finished deleting dataset: {args.dataset_arn}")
   
       except ClientError as err:
           error_message = f"Problem deleting dataset: {err}"
           logger.exception(error_message)
           print(error_message)
   
   
   if __name__ == "__main__":
       main()
   ```

------
#### [ Java V2 ]

   Use the following code. Supply the following command line parameters:
   + dataset\$1arn — the ARN of the dataset that you want to delete.

   ```
   /*
      Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
      SPDX-License-Identifier: Apache-2.0
   */
   package com.example.rekognition;
   
   import java.util.logging.Level;
   import java.util.logging.Logger;
   
   import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
   import software.amazon.awssdk.regions.Region;
   import software.amazon.awssdk.services.rekognition.RekognitionClient;
   import software.amazon.awssdk.services.rekognition.model.DeleteDatasetRequest;
   import software.amazon.awssdk.services.rekognition.model.DeleteDatasetResponse;
   import software.amazon.awssdk.services.rekognition.model.DescribeDatasetRequest;
   import software.amazon.awssdk.services.rekognition.model.RekognitionException;
   
   public class DeleteDataset {
   
       public static final Logger logger = Logger.getLogger(DeleteDataset.class.getName());
   
       public static void deleteMyDataset(RekognitionClient rekClient, String datasetArn) throws InterruptedException {
   
           try {
   
               logger.log(Level.INFO, "Deleting dataset: {0}", datasetArn);
   
               // Delete the dataset
   
               DeleteDatasetRequest deleteDatasetRequest = DeleteDatasetRequest.builder().datasetArn(datasetArn).build();
   
               DeleteDatasetResponse response = rekClient.deleteDataset(deleteDatasetRequest);
   
               // Wait until deletion finishes
   
               DescribeDatasetRequest describeDatasetRequest = DescribeDatasetRequest.builder().datasetArn(datasetArn)
                       .build();
   
               Boolean deleted = false;
   
               do {
   
                   try {
   
                       rekClient.describeDataset(describeDatasetRequest);
                       Thread.sleep(5000);
                   } catch (RekognitionException e) {
                       String errorCode = e.awsErrorDetails().errorCode();
                       if (errorCode.equals("ResourceNotFoundException")) {
                           logger.log(Level.INFO, "Dataset deleted: {0}", datasetArn);
                           deleted = true;
                       } else {
                           logger.log(Level.SEVERE, "Client error occurred: {0}", e.getMessage());
                           throw e;
                       }
   
                   }
   
               } while (Boolean.FALSE.equals(deleted));
   
               logger.log(Level.INFO, "Dataset deleted: {0} ", datasetArn);
   
           } catch (
   
           RekognitionException e) {
               logger.log(Level.SEVERE, "Client error occurred: {0}", e.getMessage());
               throw e;
           }
   
       }
   
       public static void main(String args[]) {
   
           final String USAGE = "\n" + "Usage: " + "<dataset_arn>\n\n" + "Where:\n"
                   + "   dataset_arn - The ARN of the dataset that you want to delete.\n\n";
   
           if (args.length != 1) {
               System.out.println(USAGE);
               System.exit(1);
           }
   
           String datasetArn = args[0];
   
           try {
   
               // Get the Rekognition client.
               RekognitionClient rekClient = RekognitionClient.builder()
                   .credentialsProvider(ProfileCredentialsProvider.create("custom-labels-access"))
                   .region(Region.US_WEST_2)
                   .build();
   
   
               // Delete the dataset
               deleteMyDataset(rekClient, datasetArn);
   
               System.out.println(String.format("Dataset deleted: %s", datasetArn));
   
               rekClient.close();
   
           } catch (RekognitionException rekError) {
               logger.log(Level.SEVERE, "Rekognition client error: {0}", rekError.getMessage());
               System.exit(1);
           }
   
           catch (InterruptedException intError) {
               logger.log(Level.SEVERE, "Exception while sleeping: {0}", intError.getMessage());
               System.exit(1);
           }
   
       }
   
   }
   ```

------