{"url":"/dataset/kvasir-instrument","name":"Kvasir-Instrument","full_name":null,"description_markdown":"Consists of  annotated frames containing GI procedure tools such as snares, balloons and biopsy forceps, etc. Beside of the images, the dataset includes ground truth masks and bounding boxes and has been verified by two expert GI endoscopists.\r\n\r\nSource: [Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy](/paper/kvasir-instrument-diagnostic-and-therapeutic)","description_withheld":null,"homepage":"https://datasets.simula.no/kvasir-instrument/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/kvasir-instrument-diagnostic-and-therapeutic","title":"Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy","first_author":"Debesh Jha","url":null},"license":{"name":"open access for academic purpose. For commercial purpose please contact the owner.","url":"https://datasets.simula.no/kvasir-instrument/"},"modalities":[{"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":"Semi-Supervised Semantic Segmentation","url":"/task/semi-supervised-semantic-segmentation","datasets_with_task":"/datasets/task/semi-supervised-semantic-segmentation"},{"name":"Real-Time Object Detection","url":"/task/real-time-object-detection","datasets_with_task":"/datasets/task/real-time-object-detection"},{"name":"Real-Time Semantic Segmentation","url":"/task/real-time-semantic-segmentation","datasets_with_task":"/datasets/task/real-time-semantic-segmentation"},{"name":"Instrument Recognition","url":"/task/instrument-recognition","datasets_with_task":"/datasets/task/instrument-recognition"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Kvasir-Instrument"],"data_loaders":[],"num_papers_in_archive":19,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/medical-image-segmentation-on-kvasir","task":"Medical Image Segmentation","dataset_variant":"Kvasir-Instrument","rows":3,"metrics":["DSC","Dice Score","Intersection over Union"],"first_row_in_archive_order":{"model":"efficientnetb1","paper":"/paper/transfer-learning-in-polyp-and-endoscopic","metrics":{"DSC":"0.948","Dice Score":"0.948","Intersection over Union":"0.911"},"code_links":[{"title":"ylefen/medai2021-polypixel","url":"https://github.com/ylefen/medai2021-polypixel"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semantic-segmentation-on-kvasir-instrument","task":"Semantic Segmentation","dataset_variant":"Kvasir-Instrument","rows":2,"metrics":["DSC","mIoU"],"first_row_in_archive_order":{"model":"DoubleUNet","paper":"/paper/doubleu-net-a-deep-convolutional-neural","metrics":{"DSC":"0.9038","mIoU":"0.8430"},"code_links":[{"title":"DebeshJha/2020-CBMS-DoubleU-Net","url":"https://github.com/DebeshJha/2020-CBMS-DoubleU-Net"},{"title":"mehul-k5/Double-Unet","url":"https://github.com/mehul-k5/Double-Unet"},{"title":"Janetteeeeeeee/double_unet","url":"https://github.com/Janetteeeeeeee/double_unet"},{"title":"harsh-jadhav/SIIM-Pneumothorax-Case-Study2","url":"https://github.com/harsh-jadhav/SIIM-Pneumothorax-Case-Study2"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/semi-supervised-semantic-segmentation-on-33","task":"Semi-Supervised Semantic Segmentation","dataset_variant":"Kvasir-Instrument","rows":1,"metrics":["Dice (Average)"],"first_row_in_archive_order":{"model":"MMS(20% labeled)","paper":"/paper/min-max-similarity-a-contrastive-learning","metrics":{"Dice (Average)":"0.874"},"code_links":[{"title":"angeloucn/min_max_similarity","url":"https://github.com/angeloucn/min_max_similarity"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/min-max-similarity-a-contrastive-learning","title":"Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation","date":"2022-03-29","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/transfer-learning-in-polyp-and-endoscopic","title":"Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images","date":"2021-11-16","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/kvasir-instrument-diagnostic-and-therapeutic","title":"Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy","date":"2020-10-23","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/doubleu-net-a-deep-convolutional-neural","title":"DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation","date":"2020-06-08","rows_on_this_dataset":2,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":5,"samples_ran":2,"samples_unverified":3,"pointer_only_for_licence":5,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/u-net-convolutional-networks-for-biomedical","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","date":"2015-05-18","rows_on_this_dataset":1,"code_links":487,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":757,"samples_ran":510,"samples_unverified":247,"pointer_only_for_licence":426,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":762,"samples_ran":512,"samples_unverified":250,"pointer_only_for_licence":431,"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."}