Datasets › ASRD

ASRD (Anime Style Recognition Dataset)

Introduced by Haotang Li et al. in A Challenging Benchmark of Anime Style Recognition29 Apr 2022 archive 2025-07-28

A well-labeled challenging dataset, to facilitate the research on style recognition on anime images by collecting images from 190 anime and cartoon works covering 93 years from 13 countries and regions, 2D and 3D work into consideration concurrently. We choose at most ten roles for each work. All the images are obtained from the Internet. The images in the LSASRD dataset are mainly from existing anime and cartoons. Moreover, some are from comics or games of the same anime series. Unlike illustration or video datasets, we provide a moderate amount of contextual information in a wide variety of styles. LSASRD requires the ability of context understanding of image models.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • ASRD

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections