{"url":"/dataset/danbooru2020","name":"Danbooru2020","full_name":null,"description_markdown":"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](https://www.gwern.net/Danbooru2020#applications), particularly generative modeling.\r\n\r\nDanbooru20xx is updated annually with the previous years' images & metadata improvements. Previous iterations: Danbooru2017, Danbooru2018, Danbooru2019.\r\n\r\nSource: [Danbooru2020](https://www.gwern.net/Danbooru2020).","description_withheld":null,"homepage":"https://www.gwern.net/Danbooru2020","introduced_date":"2018-02-03","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC-0","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"},{"name":"Japanese","url":"/datasets/language/japanese"}],"variants":["Danbooru2020"],"data_loaders":[],"num_papers_in_archive":4,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}