{"url":"/dataset/kvasir-sessile-dataset","name":"Kvasir-Sessile dataset","full_name":"Sessile polyps from Kvasir-SEG","description_markdown":"The Kvasir-SEG dataset includes 196 polyps smaller than 10 mm classified as Paris class 1 sessile or Paris class IIa. We have selected it with the help of expert gastroenterologists. We have released this dataset separately as a subset of Kvasir-SEG. We call this subset Kvasir-Sessile.\r\n\r\n\r\nThe dataset is publicly available. It can be downloaded from here:\r\n\r\n\r\nhttps://drive.google.com/drive/folders/1OjsStQh6yuKz0bG6OA3BzmIiXDZILg7V?usp=sharing\r\n\r\nIf you use this dataset, please cite our paper,\r\n\r\nhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9314114\r\n\r\n/https://arxiv.org/pdf/1911.07069.pdf\r\n\r\nif you use our dataset,","description_withheld":null,"homepage":"https://datasets.simula.no/kvasir-seg/","introduced_date":"2019-11-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/kvasir-seg-a-segmented-polyp-dataset","title":"Kvasir-SEG: A Segmented Polyp Dataset","first_author":"Debesh Jha","url":null},"license":{"name":"Custom (research and educational only)","url":"https://datasets.simula.no/kvasir-seg/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Medical Image Segmentation","url":"/task/medical-image-segmentation","datasets_with_task":"/datasets/task/medical-image-segmentation"},{"name":"Colorectal Polyps Characterization","url":"/task/colorectal-polyps-characterization","datasets_with_task":"/datasets/task/colorectal-polyps-characterization"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Kvasir-Sessile dataset"],"data_loaders":[],"num_papers_in_archive":5,"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":"2026-09-25T09:33:49+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."}