{"url":"/dataset/idrid","name":"IDRiD","full_name":"Indian Diabetic Retinopathy Image Dataset","description_markdown":"Indian Diabetic Retinopathy Image Dataset (IDRiD) dataset consists of typical diabetic retinopathy lesions and normal retinal structures annotated at a pixel level. This dataset also provides information on the disease severity of diabetic retinopathy and diabetic macular edema for each image. This dataset is perfect for the development and evaluation of image analysis algorithms for early detection of diabetic retinopathy.","description_withheld":null,"homepage":"https://idrid.grand-challenge.org/","introduced_date":"2018-01-20","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Medical Image Classification","url":"/task/medical-image-classification","datasets_with_task":"/datasets/task/medical-image-classification"},{"name":"Fovea Detection","url":"/task/fovea-detection","datasets_with_task":"/datasets/task/fovea-detection"},{"name":"Optic Disc Detection","url":"/task/optic-disc-detection","datasets_with_task":"/datasets/task/optic-disc-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["IDRiD"],"data_loaders":[{"repo":"https://github.com/milan01234/MachineLearning","url":"https://github.com/milan01234/MachineLearning","frameworks":["tf"]}],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/medical-image-classification-on-idrid","task":"Medical Image Classification","dataset_variant":"IDRiD","rows":2,"metrics":["Accuracy","Accuracy (% )"],"first_row_in_archive_order":{"model":"Beta-Rank","paper":"/paper/beta-rank-a-robust-convolutional-filter","metrics":{"Accuracy":"81.88"},"code_links":[{"title":"mohofar/beta-rank","url":"https://github.com/mohofar/beta-rank"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/fovea-detection-on-idrid","task":"Fovea Detection","dataset_variant":"IDRiD","rows":1,"metrics":["Euclidean Distance (ED)"],"first_row_in_archive_order":{"model":"HBA-U-Net","paper":"/paper/u-net-with-hierarchical-bottleneck-attention","metrics":{"Euclidean Distance (ED)":"32.1"},"code_links":[{"title":"bionicvisionlab/2021-HBA-U-Net","url":"https://github.com/bionicvisionlab/2021-HBA-U-Net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/optic-disc-detection-on-idrid","task":"Optic Disc Detection","dataset_variant":"IDRiD","rows":1,"metrics":["Euclidean Distance (ED)"],"first_row_in_archive_order":{"model":"HBA-U-Net","paper":"/paper/u-net-with-hierarchical-bottleneck-attention","metrics":{"Euclidean Distance (ED)":"20.5"},"code_links":[{"title":"bionicvisionlab/2021-HBA-U-Net","url":"https://github.com/bionicvisionlab/2021-HBA-U-Net"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/beta-rank-a-robust-convolutional-filter","title":"Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis","date":"2023-04-15","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/u-net-with-hierarchical-bottleneck-attention","title":"U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina","date":"2021-07-09","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/deep-residual-network-based-automatic-image","title":"Deep Residual Network based Automatic Image Grading for Diabetic Macular Edema","date":"2018-07-01","rows_on_this_dataset":1,"code_links":1,"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."}