{"url":"/dataset/m2caiseg","name":"m2caiSeg","full_name":null,"description_markdown":"Created from endoscopic video feeds of real-world surgical procedures. Overall, the data consists of 307 images, each of which is annotated for the organs and different surgical instruments present in the scene.\r\n\r\nSource: [m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks](/paper/m2caiseg-semantic-segmentation-of)","description_withheld":null,"homepage":"https://arxiv.org/abs/2008.10134","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/m2caiseg-semantic-segmentation-of","title":"m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks","first_author":"Salman Maqbool","url":null},"license":null,"modalities":[],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"},{"name":"Unsupervised Pre-training","url":"/task/unsupervised-pre-training","datasets_with_task":"/datasets/task/unsupervised-pre-training"}],"languages":[],"variants":["m2caiSeg"],"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":"2026-09-24T18:15:14+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."}