Contribute

We welcome contributions of the following:

  • Retinal Vessel videos with descriptions and ground truth.
  • Published benchmarking results of algorithms applied to the RVD dataset.
  • Corrections to existing descriptions or ground truth.
  • Other aspects of the RVD.

Contributing RVD dataset

If you would like to contribute the dataset, please email uq.cvlab@gmail.com with the following:

  • a .zip file of your videos and annotations.
  • 1-5 example videos.
  • any metadata or ground truth data you may have (.csv, .txt files).

Please email uq.cvlab@gmail.com if you have any questions about contributing datasets.