{"url":"/dataset/dib-10k","name":"DIB-10K","full_name":"DongNiao International Birds 10000","description_markdown":"Is a challenging image dataset which has more than 10 thousand different types of birds. It was created to enable the study of machine learning and also ornithology research.\r\n\r\nSource: [The DongNiao International Birds 10000 Dataset](/paper/the-dongniao-international-birds-10000)","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-dongniao-international-birds-10000","title":"The DongNiao International Birds 10000 Dataset","first_author":"Jian Mei","url":null},"license":null,"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Fine-Grained Image Classification","url":"/task/fine-grained-image-classification","datasets_with_task":"/datasets/task/fine-grained-image-classification"}],"languages":[],"variants":["DIB-10K"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/fine-grained-image-classification-on-dib-10k","task":"Fine-Grained Image Classification","dataset_variant":"DIB-10K","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MetaFGNet","paper":"/paper/fine-grained-visual-categorization-using-meta","metrics":{"Accuracy":"0.87"},"code_links":[{"title":"YBZh/MetaFGNet","url":"https://github.com/YBZh/MetaFGNet"},{"title":"YabinZhang1994/MetaFGNet","url":"https://github.com/YabinZhang1994/MetaFGNet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/fine-grained-visual-categorization-using-meta","title":"Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data","date":"2018-07-28","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":1,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":10,"samples_ran":1,"samples_unverified":9,"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."}