{"url":"/dataset/open-mic","name":"Open MIC","full_name":"Open Museum Identification Challenge","description_markdown":"Open MIC (Open Museum Identification Challenge) contains photos of exhibits captured in 10 distinct exhibition spaces of several museums which showcase paintings, timepieces, sculptures, glassware, relics, science exhibits, natural history pieces, ceramics, pottery, tools and indigenous crafts. The goal of Open MIC is to stimulate research in domain adaptation, egocentric recognition and few-shot learning by providing a testbed complementary to the famous Office 31.\r\n\r\nSource: [Museum Exhibit Identification Challenge for Domain Adaptation and Beyond](/paper/museum-exhibit-identification-challenge-for)","description_withheld":null,"homepage":"http://users.cecs.anu.edu.au/~koniusz/openmic-dataset/index.php","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/museum-exhibit-identification-challenge-for","title":"Museum Exhibit Identification Challenge for Domain Adaptation and Beyond","first_author":"Piotr Koniusz","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Few-Shot Learning","url":"/task/few-shot-learning","datasets_with_task":"/datasets/task/few-shot-learning"},{"name":"Object Recognition","url":"/task/object-recognition","datasets_with_task":"/datasets/task/object-recognition"}],"languages":[],"variants":["Open MIC"],"data_loaders":[],"num_papers_in_archive":1,"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."}