{"url":"/dataset/sbcoseg","name":"SBCoseg","full_name":"SBCoseg Dataset","description_markdown":"The SBCoseg dataset includes 889 groups of images and each group consists of 18 images with a common object, leading to 16002 images in total. The whole dataset is divided into five subsets: with ECFB, with TR, with MH, with SD, and Normal (normal data). The five subsets contain 193, 251, 82, 83, and 280 image groups, respectively. Each original image is in JPG format with a pixel size of 360 ×360, and each ground-truth image is in PNG format.","description_withheld":null,"homepage":"http://www.mlmrlab.com/cosegmentation_dataset_downloadC.html","introduced_date":"2020-12-03","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SBCoseg"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-sbcoseg","task":"Semantic Segmentation","dataset_variant":"SBCoseg","rows":1,"metrics":["Jaccard"],"first_row_in_archive_order":{"model":"Dice loss + IS-Triplet loss","paper":"/paper/improving-image-co-segmentation-via-deep","metrics":{"Jaccard":"0.951"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/improving-image-co-segmentation-via-deep","title":"Improving Image co-segmentation via Deep Metric Learning","date":"2021-03-19","rows_on_this_dataset":1,"code_links":0,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}