{"url":"/dataset/coph100","name":"COph100","full_name":null,"description_markdown":"we introduce COph100, a novel and challenging dataset known as the Comprehensive\r\nOphthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public \"RIDIRP\" database. COph100 consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a total of 491 image \r\npairs carefully selected from the publicly available dataset. We manually labeled the corresponding ground truth image points and provided automatic vessel segmentation masks for each image.","description_withheld":null,"homepage":"https://figshare.com/s/f192ccfc9a732d721049","introduced_date":"2025-01-06","introduced_date_note":null,"introduced_by":{"paper":"/paper/coph100-a-comprehensive-fundus-image","title":"COph100: A comprehensive fundus image registration dataset from infants constituting the \"RIDIRP\" database","first_author":"Yan Hu","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[],"variants":["COph100"],"data_loaders":[],"num_papers_in_archive":1,"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."}