{"url":"/dataset/m2cai16-tool-locations","name":"m2cai16-tool-locations","full_name":null,"description_markdown":"The m2cai16-tool-locations dataset contains spatial tool annotations for 2,532 frames across the first 10 videos in the m2cai16-tool dataset, which includes 15 videos in total. The dataset consists of 3,141 annotations of 7 surgical instrument classes, with an average of 1.2 labels per frame and 7 instrument classes per video.\r\n\r\nSource: [http://ai.stanford.edu/~syyeung/tooldetection.html](http://ai.stanford.edu/~syyeung/tooldetection.html)","description_withheld":null,"homepage":"http://ai.stanford.edu/~syyeung/tooldetection.html","introduced_date":"2018-02-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/tool-detection-and-operative-skill-assessment","title":"Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks","first_author":"Amy Jin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[],"variants":["m2cai16-tool-locations"],"data_loaders":[],"num_papers_in_archive":7,"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."}