{"url":"/dataset/funnybirds","name":"FunnyBirds","full_name":null,"description_markdown":"**FunnyBirds** is a synthetic vision dataset that is developed to automatically and quantitatively analyze XAI methods. It consists of 50 500 images (50k train, 500 test) of 50 synthetic bird species.","description_withheld":null,"homepage":"https://github.com/visinf/funnybirds","introduced_date":"2023-08-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/funnybirds-a-synthetic-vision-dataset-for-a","title":"FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods","first_author":"Robin Hesse","url":null},"license":{"name":"Apache-2.0 license","url":"https://github.com/visinf/funnybirds/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["FunnyBirds"],"data_loaders":[],"num_papers_in_archive":10,"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."}