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Creating a dataset using images stored on your local computer

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Creating a dataset using images stored on your local computer - 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.

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.

You can create a dataset by using images that are loaded directly from your computer. You can upload up to 30 images at a time. In this procedure, you can create a single dataset project, or a project with separate training and test datasets.

Note

If you've just completed Creating your project, the console should show your project dashboard and you don't need to do steps 1 - 3.

To create a dataset using images on a local computer (console)
  1. Open the Amazon Lookout for Vision console at https://console.aws.amazon.com/lookoutvision/.

  2. In the left navigation pane, choose Projects.

  3. In the Projects page, choose the project to which you want to add a dataset.

  4. On the project details page, choose Create dataset.

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

    Single dataset
    1. In the Dataset configuration section, choose Create a single dataset.

    2. In the Image source configuration section, choose Upload images from your computer.

    3. Choose Create dataset.

    4. On the dataset page, choose Add images.

    5. Choose the images you want to upload into the dataset from your computer files. You can drag the images or choose the images that you want to upload from your local computer.

    6. Choose Upload images.

    Separate training and test datasets
    1. In the Dataset configuration section, choose Create a training dataset and a test dataset.

    2. In the Training dataset details section, choose Upload images from your computer.

    3. In the Test dataset details section, choose Upload images from your computer.

      Note

      Your training and test datasets can have different image sources.

    4. Choose Create dataset. A dataset page appears with a Training tab and a Test tab for the respective datasets.

    5. Choose Actions and then choose Add images to training dataset.

    6. Choose the images you want to upload to the dataset. You can drag the images or choose the images that you want to upload from your local computer.

    7. Choose Upload images.

    8. Repeat steps 5e - 5g. For step 5e, choose Actions and then choose Add images to test dataset.

    1. In the Dataset configuration section, choose Create a single dataset.

    2. In the Image source configuration section, choose Upload images from your computer.

    3. Choose Create dataset.

    4. On the dataset page, choose Add images.

    5. Choose the images you want to upload into the dataset from your computer files. You can drag the images or choose the images that you want to upload from your local computer.

    6. Choose Upload images.

  6. Follow the steps in Labeling images to label your images.

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

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