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Dataset is designed to be useful for Monocular Depth Estimation and Segmentation tasks

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dataset-ninja/MoDES

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Template for dataset ninja repos

How to use

  1. Fill all fields in settings.py in the section Before uploading to instance.
  2. Implement the convert_and_upload_supervisely_project() function in convert.py.
  3. Run main.py to upload the dataset to the Supervisely instance.
  4. Check the result in the web interface, select an image for preview and check if annotations are having correct colors.
  5. Fill all required fields in settings.py in the section After uploading to instance.
  6. If needed fill in optional fields in settings.py in the section After uploading to instance.
  7. Run main.py to change the custom_data of the project and build the required files in the repository.
  8. Commit and push changes to the repository.

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Dataset is designed to be useful for Monocular Depth Estimation and Segmentation tasks

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