Existing dataset - Rekognition

Existing dataset

If you've previously created a dataset, you can copy its contents to a new dataset. To create a dataset from an existing dataset with the AWS SDK, see Creating a dataset using an existing dataset (SDK).

To create a dataset using an existing Amazon Rekognition Custom Labels dataset (console)
  1. Open the Amazon Rekognition console at https://console.aws.amazon.com/rekognition/.

  2. Choose Use Custom Labels.

  3. Choose Get started.

  4. In the left navigation pane, choose Projects.

  5. In the Projects page, choose the project to which you want to add a dataset. The details page for your project is displayed.

  6. Choose Create dataset. The Create dataset page is shown.

  7. In Starting configuration, choose either Start with a single dataset or Start with a training dataset. To create a higher quality model, we recommend starting with separate training and test datasets.

    Single dataset
    1. In the Training dataset details section, choose Copy an existing Amazon Rekognition Custom Labels dataset.

    2. In the Training dataset details section, in the Dataset edit box, type or select the name of the dataset that you want to copy.

    3. Choose Create Dataset. The datasets page for your project opens.

    Separate training and test datasets
    1. In the Training dataset details section, choose Copy an existing Amazon Rekognition Custom Labels dataset.

    2. In the Training dataset details section, in the Dataset edit box, type or select the name of the dataset that you want to copy.

    3. In the Test dataset details section, choose Copy an existing Amazon Rekognition Custom Labels dataset.

    4. In the Test dataset details section, in the Dataset edit box, type or select the name of the dataset that you want to copy.

      Note

      Your training and test datasets can have different image sources.

    5. Choose Create Datasets. The datasets page for your project opens.

  8. If you need to add or change labels, do Labeling images.

  9. Follow the steps in Training a model (Console) to train your model.