Datasets › Danbooru2020
Danbooru2020
A large-scale anime image database with 4.2m+ images annotated with 130m+ text tags describing image contents in detail; it can be useful for machine learning purposes such as image recognition and generation. It has been applied to a wide variety of applications, particularly generative modeling.
Danbooru20xx is updated annually with the previous years' images & metadata improvements. Previous iterations: Danbooru2017, Danbooru2018, Danbooru2019.
Source: Danbooru2020.
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 4 papers 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
CC-0
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Danbooru2020
1 variant name, as the archive lists them.
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