{"url":"/dataset/medal-retina-dataset","name":"MeDAL Retina Dataset","full_name":"MeDAL  Retina Dataset","description_markdown":"Our primary objective in creating this dataset is to support researchers in the advancement of algorithms for keypoints detection and the pretraining of large models on retinal images using a self-supervised approach. The keypoints in the dataset have been carefully annotated by students from our lab, ensuring meticulous accuracy.\r\n\r\nThe dataset contains\r\n261 annotated images \r\n1920 images for auxiliary training of the decoder of the descriptors\r\n93209 images for training large models in self-supervised manner","description_withheld":null,"homepage":"","introduced_date":"2023-07-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/reverse-knowledge-distillation-training-a","title":"Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data","first_author":"Sahar Almahfouz Nasser","url":null},"license":{"name":"CCBY4.0","url":"https://github.com/SaharAlmahfouzNasser/MeDAL-Retina"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MeDAL Retina Dataset"],"data_loaders":[],"num_papers_in_archive":2,"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":"2026-09-25T09:33:49+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."}