{"url":"/dataset/goldfinch","name":"Goldfinch","full_name":"GOogLe image-search Dataset","description_markdown":"Goldfinch is a dataset for fine-grained recognition challenges. It contains a list of bird, butterfly, aircraft, and dog categories with relevant Google image search and Flickr search URLs. In addition, it also includes a set of active learning annotations on dog categories.\r\n\r\nSource: [The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition](/paper/the-unreasonable-effectiveness-of-noisy-data)","description_withheld":null,"homepage":"https://github.com/google/goldfinch","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-unreasonable-effectiveness-of-noisy-data","title":"The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition","first_author":"Jonathan Krause","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Metric Learning","url":"/task/metric-learning","datasets_with_task":"/datasets/task/metric-learning"},{"name":"Fine-Grained Image Recognition","url":"/task/fine-grained-image-recognition","datasets_with_task":"/datasets/task/fine-grained-image-recognition"},{"name":"Active Learning","url":"/task/active-learning","datasets_with_task":"/datasets/task/active-learning"}],"languages":[],"variants":["Goldfinch"],"data_loaders":[{"repo":"https://github.com/google/goldfinch","url":"https://github.com/google/goldfinch","frameworks":[]}],"num_papers_in_archive":3,"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."}