{"url":"/dataset/cadis","name":"CaDIS","full_name":"Cataract Dataset for Image Segmentation","description_markdown":"CaDIS: a Cataract Dataset for Image Segmentation is a dataset for semantic segmentation created by Digital Surgery Ltd. on top of the CATARACTS dataset. CaDIS consists of 4670 images sampled from the 25 videos on CATARACTS' training set. Each pixel in each image is labeled with its respective instrument or anatomical class from a set of 36 identified classes. More details about the dataset could be found in the paper (https://arxiv.org/pdf/1906.11586.pdf).","description_withheld":null,"homepage":"https://cataracts.grand-challenge.org/CaDIS/","introduced_date":"2019-06-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/cadss-cataract-dataset-for-semantic","title":"CaDIS: Cataract Dataset for Image Segmentation","first_author":"Maria Grammatikopoulou","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"},{"name":"2D Semantic Segmentation task 1 (8 classes)","url":"/task/2d-semantic-segmentation-task-1-8-classes","datasets_with_task":"/datasets/task/2d-semantic-segmentation-task-1-8-classes"},{"name":"2D Semantic Segmentation task 2 (17 classes)","url":"/task/2d-semantic-segmentation-task-2-17-classes","datasets_with_task":"/datasets/task/2d-semantic-segmentation-task-2-17-classes"},{"name":"2D Semantic Segmentation task 3 (25 classes)","url":"/task/2d-semantic-segmentation-task-3-25-classes","datasets_with_task":"/datasets/task/2d-semantic-segmentation-task-3-25-classes"}],"languages":[],"variants":["CaDIS"],"data_loaders":[{"repo":"https://github.com/user/repo","url":"https://github.com/user/repo","frameworks":["tf"]}],"num_papers_in_archive":9,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/2d-semantic-segmentation-task-3-25-classes-on","task":"2D Semantic Segmentation task 3 (25 classes)","dataset_variant":"CaDIS","rows":6,"metrics":["Mean IoU (test)","Mean IoU (val)"],"first_row_in_archive_order":{"model":"OCR-R50-Repeat Factor-Lovasz","paper":"/paper/effective-semantic-segmentation-in-cataract","metrics":{"Mean IoU (test)":"71.94","Mean IoU (val)":"79.4"},"code_links":[{"title":"rvimlab/miccai2021_cataract_semantic_segmentation","url":"https://github.com/rvimlab/miccai2021_cataract_semantic_segmentation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/effective-semantic-segmentation-in-cataract","title":"Effective semantic segmentation in Cataract Surgery: What matters most?","date":"2021-08-13","rows_on_this_dataset":3,"code_links":1,"syntology":null},{"paper":"/paper/cadss-cataract-dataset-for-semantic","title":"CaDIS: Cataract Dataset for Image Segmentation","date":"2019-06-27","rows_on_this_dataset":3,"code_links":0,"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."}