{"url":"/dataset/cholect50","name":"CholecT50","full_name":"Cholecystectomy Action Triplet","description_markdown":"**CholecT50** is a dataset of endoscopic videos of laparoscopic cholecystectomy surgery introduced to enable research on fine-grained action recognition in laparoscopic surgery.\r\nIt is annotated with triplet information in the form of <instrument, verb, target>.\r\nThe dataset is a collection of 50 videos consisting of 45 videos from the Cholec80 dataset  and 5 videos from an in-house dataset of the same surgical procedure.\r\n\r\nCholecT50 is an extension of **CholecT40** with 10 additional videos and standardized classes.\r\n\r\n**CholecT45** is a subset of CholecT50 consisting of 45 videos  from the Cholec80 dataset and first public release of CholecT50.\r\n\r\nThe following are the official variants of the dataset:\r\n\r\n- **1. CholecT50** : the original version as used in the Rendezvous publication.\r\n- ** 2.CholecT50 (challenge)** : the variant used in CholecTriplet challenge.\r\n- ** 3. CholecT50 (cross-val)**: official cross validation split of CholecT50.\r\n- ** 4. CholecT45 (cross-val)**: official cross validation split of CholecT45.\r\n- ** 5. CholecT40** : the original version of CholecT40 as used in Tripnet publication.\r\n\r\nThe complete dataset split information is given [here](https://arxiv.org/abs/2204.05235).","description_withheld":null,"homepage":"https://github.com/CAMMA-public/cholect45","introduced_date":"2021-03-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/rendezvous-attention-mechanisms-for-the","title":"Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos","first_author":"Chinedu Innocent Nwoye","url":null},"license":{"name":"CC BY-NC-SA 4.0 LICENSE","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Action Recognition","url":"/task/action-recognition-in-videos","datasets_with_task":"/datasets/task/action-recognition-in-videos"},{"name":"Action Triplet Recognition","url":"/task/action-triplet-recognition","datasets_with_task":"/datasets/task/action-triplet-recognition"},{"name":"Surgical tool detection","url":"/task/surgical-tool-detection","datasets_with_task":"/datasets/task/surgical-tool-detection"},{"name":"Action Triplet Detection","url":"/task/action-triplet-detection","datasets_with_task":"/datasets/task/action-triplet-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CholecT40","CholecT50","CholecT45","CholecT50 (cross-val)","CholecT50 (Challenge)","CholecT45 (cross-val)"],"data_loaders":[{"repo":"https://github.com/CAMMA-public/cholect50","url":"https://github.com/CAMMA-public/cholect50/blob/master/docs/README-Loader.md","frameworks":["tf","pytorch"]},{"repo":"https://github.com/CAMMA-public/cholect45","url":"https://github.com/CAMMA-public/cholect45","frameworks":["tf","pytorch"]}],"num_papers_in_archive":32,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/action-triplet-recognition-on-cholect50-1","task":"Action Triplet Recognition","dataset_variant":"CholecT50 (Challenge)","rows":27,"metrics":["mAP"],"first_row_in_archive_order":{"model":"Team Trequartista","paper":"/paper/cholectriplet2021-a-benchmark-challenge-for","metrics":{"mAP":"38.1"},"code_links":[{"title":"CAMMA-public/cholect50","url":"https://github.com/CAMMA-public/cholect50"},{"title":"CAMMA-public/cholect45","url":"https://github.com/CAMMA-public/cholect45"},{"title":"camma-public/rendezvous","url":"https://github.com/camma-public/rendezvous"},{"title":"camma-public/tripnet","url":"https://github.com/camma-public/tripnet"},{"title":"camma-public/attention-tripnet","url":"https://github.com/camma-public/attention-tripnet"},{"title":"CAMMA-public/cholectriplet2021","url":"https://github.com/CAMMA-public/cholectriplet2021"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-triplet-recognition-on-cholect50","task":"Action Triplet Recognition","dataset_variant":"CholecT50","rows":6,"metrics":["Mean AP"],"first_row_in_archive_order":{"model":"Rendezvous (TensorFlow v1)","paper":"/paper/rendezvous-attention-mechanisms-for-the","metrics":{"Mean AP":"29.9"},"code_links":[{"title":"CAMMA-public/cholect50","url":"https://github.com/CAMMA-public/cholect50"},{"title":"camma-public/ssg-qa","url":"https://github.com/camma-public/ssg-qa"},{"title":"camma-public/ssg-vqa","url":"https://github.com/camma-public/ssg-vqa"},{"title":"CAMMA-public/cholect45","url":"https://github.com/CAMMA-public/cholect45"},{"title":"camma-public/rendezvous","url":"https://github.com/camma-public/rendezvous"},{"title":"camma-public/ivtmetrics","url":"https://github.com/camma-public/ivtmetrics"},{"title":"camma-public/tripnet","url":"https://github.com/camma-public/tripnet"},{"title":"camma-public/attention-tripnet","url":"https://github.com/camma-public/attention-tripnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-triplet-recognition-on-cholect45-cross","task":"Action Triplet Recognition","dataset_variant":"CholecT45 (cross-val)","rows":5,"metrics":["mAP"],"first_row_in_archive_order":{"model":"DiffTriplet","paper":"/paper/surgical-triplet-recognition-via-diffusion","metrics":{"mAP":"40.2±1.9"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-triplet-recognition-on-cholect50-cross-1","task":"Action Triplet Recognition","dataset_variant":"CholecT50 (cross-val)","rows":4,"metrics":["mAP"],"first_row_in_archive_order":{"model":"DiffTriplet","paper":"/paper/surgical-triplet-recognition-via-diffusion","metrics":{"mAP":"40.3±2.5"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/action-triplet-detection-on-cholect50","task":"Action Triplet Detection","dataset_variant":"CholecT50 (Challenge)","rows":1,"metrics":["box mAP"],"first_row_in_archive_order":{"model":"ResNet-CAM-YOLOv5","paper":"/paper/cholectriplet2022-show-me-a-tool-and-tell-me","metrics":{"box mAP":"4.49"},"code_links":[{"title":"CAMMA-public/cholect50","url":"https://github.com/CAMMA-public/cholect50"},{"title":"camma-public/cholectriplet2022","url":"https://github.com/camma-public/cholectriplet2022"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/surgical-triplet-recognition-via-diffusion","title":"Surgical Triplet Recognition via Diffusion Model","date":"2024-06-19","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/cholectriplet2022-show-me-a-tool-and-tell-me","title":"CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection","date":"2023-02-13","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/rendezvous-in-time-an-attention-based","title":"Rendezvous in Time: An Attention-based Temporal Fusion approach for Surgical Triplet Recognition","date":"2022-11-30","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/dissecting-self-supervised-learning-methods","title":"Dissecting Self-Supervised Learning Methods for Surgical Computer Vision","date":"2022-07-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/data-splits-and-metrics-for-method","title":"Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets","date":"2022-04-11","rows_on_this_dataset":12,"code_links":8,"syntology":null},{"paper":"/paper/cholectriplet2021-a-benchmark-challenge-for","title":"CholecTriplet2021: A benchmark challenge for surgical action triplet recognition","date":"2022-04-10","rows_on_this_dataset":21,"code_links":6,"syntology":null},{"paper":"/paper/rendezvous-attention-mechanisms-for-the","title":"Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos","date":"2021-09-07","rows_on_this_dataset":2,"code_links":8,"syntology":null},{"paper":"/paper/recognition-of-instrument-tissue-interactions","title":"Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets","date":"2020-07-10","rows_on_this_dataset":2,"code_links":4,"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."}