Large Super-Resolution Quality Assessment dataset covering many major Video Super-Resolution use cases

Evaluating metrics on three subsets: Easy, Moderate and Hard

Dataset consists of 1200 videos, with scores based on >100000 votes

To the best of our knowledge, we provide the largest (>1000) Video Saliency dataset,
collected with the help of crowdsourcing mouse tracking and validated with conventional eye-tracking

Dataset contains diverse content, high-resolution, audio-visual information, and is available under CC-BY license

Evaluating metrics on four metrics: CC, SIM, NSS, AUC Judd

Participants see scores during the challenge only on 30% of the test set, the final result will not be shown until the end of the challenge