{"url":"/dataset/cat2000","name":"CAT2000","full_name":null,"description_markdown":"Includes 4000 images; 200 from each of 20 categories covering different types of scenes such as Cartoons, Art, Objects, Low resolution images, Indoor, Outdoor, Jumbled, Random, and Line drawings.\r\n\r\nSource: [CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research](https://arxiv.org/pdf/1505.03581v1.pdf)","description_withheld":null,"homepage":"http://saliency.mit.edu/results_cat2000.html","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/cat2000-a-large-scale-fixation-dataset-for","title":"CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research","first_author":"Ali Borji","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Saliency Detection","url":"/task/saliency-detection","datasets_with_task":"/datasets/task/saliency-detection"},{"name":"Saliency Prediction","url":"/task/saliency-prediction","datasets_with_task":"/datasets/task/saliency-prediction"}],"languages":[],"variants":["CAT2000"],"data_loaders":[],"num_papers_in_archive":57,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/saliency-detection-on-cat2000","task":"Saliency Detection","dataset_variant":"CAT2000","rows":2,"metrics":["AUC","NSS"],"first_row_in_archive_order":{"model":"SUM","paper":"/paper/sum-saliency-unification-through-mamba-for","metrics":{"AUC":"0.888","NSS":"2.423"},"code_links":[{"title":"Arhosseini77/SUM","url":"https://github.com/Arhosseini77/SUM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/saliency-prediction-on-cat2000","task":"Saliency Prediction","dataset_variant":"CAT2000","rows":1,"metrics":["KL"],"first_row_in_archive_order":{"model":"SUM","paper":"/paper/sum-saliency-unification-through-mamba-for","metrics":{"KL":"0.27"},"code_links":[{"title":"Arhosseini77/SUM","url":"https://github.com/Arhosseini77/SUM"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/sum-saliency-unification-through-mamba-for","title":"SUM: Saliency Unification through Mamba for Visual Attention Modeling","date":"2024-06-25","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":14,"samples_ran":14,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/variational-laws-of-visual-attention-for","title":"Variational Laws of Visual Attention for Dynamic Scenes","date":"2017-12-01","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":14,"samples_ran":14,"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."}