{"url":"/dataset/esad","name":"ESAD","full_name":"SARAS Endoscopic Surgeon Action Detection","description_markdown":"ESAD is a large-scale dataset designed to tackle the problem of surgeon action detection in endoscopic minimally invasive surgery. ESAD aims at contributing to increase the effectiveness and reliability of surgical assistant robots by realistically testing their awareness of the actions performed by a surgeon. The dataset provides bounding box annotation for 21 action classes on real endoscopic video frames captured during prostatectomy, and was used as the basis of a recent MIDL 2020 challenge. \r\n\r\nSource: [ESAD: Endoscopic Surgeon Action Detection Dataset](/paper/esad-endoscopic-surgeon-action-detection)","description_withheld":null,"homepage":"https://saras-esad.grand-challenge.org/Dataset/","introduced_date":"2021-04-07","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-saras-endoscopic-surgeon-action-detection","title":"The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods","first_author":"Vivek Singh Bawa","url":null},"license":{"name":"CC BY-NC-SA 3.0","url":"https://creativecommons.org/licenses/by-nc-sa/3.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Action Detection","url":"/task/action-detection","datasets_with_task":"/datasets/task/action-detection"}],"languages":[],"variants":["ESAD"],"data_loaders":[],"num_papers_in_archive":4,"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":"2026-09-24T18:15:14+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."}