{"url":"/dataset/office-caltech-10","name":"Office-Caltech-10","full_name":"Office-Caltech-10","description_markdown":"**Office-Caltech-10** a standard benchmark for domain adaptation, which consists of Office 10 and Caltech 10 datasets. It contains the 10 overlapping categories between the Office dataset and Caltech256 dataset. SURF BoW historgram features, vector quantized to 800 dimensions are also available for this dataset.\r\n\r\nSource: [Impact of ImageNet Model Selection on Domain Adaptation](https://arxiv.org/abs/2002.02559)\r\nImage Source: [https://arxiv.org/abs/1409.5241](https://arxiv.org/abs/1409.5241)","description_withheld":null,"homepage":"https://people.eecs.berkeley.edu/~jhoffman/domainadapt/","introduced_date":"2010-01-01","introduced_date_note":null,"introduced_by":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"}],"languages":[],"variants":["Office-Caltech-10"],"data_loaders":[],"num_papers_in_archive":10,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/domain-adaptation-on-office-caltech-10","task":"Domain Adaptation","dataset_variant":"Office-Caltech-10","rows":1,"metrics":["Accuracy (%)"],"first_row_in_archive_order":{"model":"MEDA","paper":"/paper/visual-domain-adaptation-with-manifold","metrics":{"Accuracy (%)":"92.8"},"code_links":[{"title":"jindongwang/transferlearning","url":"https://github.com/jindongwang/transferlearning"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/visual-domain-adaptation-with-manifold","title":"Visual Domain Adaptation with Manifold Embedded Distribution Alignment","date":"2018-07-19","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}