Creating a dataset with a manifest file (console) - Amazon Lookout for Vision

End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Lookout for Vision. After October 31, 2025, you will no longer be able to access the Lookout for Vision console or Lookout for Vision resources. For more information, visit this blog post.

Creating a dataset with a manifest file (console)

The following procedure shows you how to create a training or test dataset by importing an SageMaker format manifest file that is stored in an Amazon S3 bucket.

After you create the dataset, you can add more images to the dataset, or add labels to images. For more information, see Adding images to your dataset.

To create a dataset using an SageMaker Ground Truth format manifest file (console)

  1. Create, or use an existing, Amazon Lookout for Vision compatible SageMaker Ground Truth format manifest file. For more information, see Creating a manifest file.

  2. Sign in to the AWS Management Console and open the Amazon S3 console at https://console.aws.amazon.com/s3/.

  3. In an Amazon S3 bucket, create a folder to hold your manifest file.

  4. Upload your manifest file to the folder that you just created.

  5. In the Amazon S3 bucket, create a folder to store your images.

  6. Upload your images to the folder you just created.

    Important

    The source-ref field value in each JSON line must map to images in the folder.

  7. Open the Amazon Lookout for Vision console at https://console.aws.amazon.com/lookoutvision/.

  8. Choose Get started.

  9. In the left navigation pane, choose Projects.

  10. Choose the project that you want to add to use with the manifest file.

  11. In the How it works section, choose Create dataset.

  12. Choose the Single dataset tab or the Separate training and test datasets tab and follow the steps.

    Single dataset

    1. Choose Create a single dataset.

    2. In the Image source configuration section, choose Import images labeled by SageMaker Ground Truth.

    3. For .manifest file location, enter the location of your manifest file.

    Separate training and test datasets

    1. Choose Create a training dataset and a test dataset.

    2. In the Training dataset details section, choose Import images labeled by SageMaker Ground Truth.

    3. In .manifest file location, enter the location of your training manifest file.

    4. In the Test dataset details section, choose Import images labeled by SageMaker Ground Truth.

    5. In .manifest file location, enter the location of your test manifest file.

      Note

      Your training and test datasets can have different image sources.

  13. Choose Submit.

  14. Follow the steps in Training your model to train your model.

Amazon Lookout for Vision creates a dataset in the Amazon S3 bucket datasets folder. Your original .manifest file remains unchanged.