{"url":"/dataset/fgadr","name":"FGADR","full_name":null,"description_markdown":"This dataset has 1,842 images with pixel-level DR-related lesion annotations, and 1,000 images with image-level labels graded by six board-certified ophthalmologists with intra-rater consistency. The proposed dataset will enable extensive studies on DR diagnosis.\r\n\r\nSource: [A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability](/paper/a-benchmark-for-studying-diabetic-retinopathy)","description_withheld":null,"homepage":"https://csyizhou.github.io/FGADR/","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-benchmark-for-studying-diabetic-retinopathy","title":"A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability","first_author":"Yi Zhou","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Lesion Segmentation","url":"/task/lesion-segmentation","datasets_with_task":"/datasets/task/lesion-segmentation"}],"languages":[],"variants":["FGADR"],"data_loaders":[],"num_papers_in_archive":20,"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."}