ainime-challenge/re-anime600-train
Re-Anime600 Re-Anime600 is a curated benchmark dataset for anime video quality assessment and super-resolution evaluation. Our goal is to support and promote reproducible research on Deep Learning for Animation, including video restoration, super-resolution, quality assessment, enhancement, and related problems in computational imaging and generative AI. Re-Anime600 contains 600 curated anime video clips selected to support the evaluation and development of methods operating on… See the full description on the dataset page: https://huggingface.co/datasets/ainime-challenge/re-anime600-train.
| Author / organization | ainime-challenge |
|---|---|
| License (as declared) | other |
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 15 September 2026 |
| Last updated at source | 12 October 2026 |
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