Sign inGet started
Dataset · Hugging Face

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 / organizationainime-challenge
License (as declared)other
Downloads165 (as reported by Hugging Face)
Likes2
Created15 September 2026
Last updated at source12 October 2026
artanimeanimationchallengeworkshop
Embed this entry
<iframe src="https://silytics.si/embed/item/e464232b-8625-4ec4-8742-e607efa45841" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

165 now (+2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.