{"url":"/dataset/hrf","name":"HRF","full_name":"High-Resolution Fundus","description_markdown":"The **HRF** dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. Each subset contains one healthy fundus image, one image of patient with diabetic retinopathy and one glaucoma image. The image sizes are 3,304 x 2,336, with a training/testing image split of 22/23.\r\n\r\nSource: [Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation](https://arxiv.org/abs/1903.05558)\r\nImage Source: [https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531](https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531)","description_withheld":null,"homepage":"https://www5.cs.fau.de/research/data/fundus-images/","introduced_date":"2013-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Robust Vessel Segmentation in Fundus Images","first_author":null,"url":"https://doi.org/10.1155/2013/154860"},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Retinal Vessel Segmentation","url":"/task/retinal-vessel-segmentation","datasets_with_task":"/datasets/task/retinal-vessel-segmentation"},{"name":"Artery/Veins Retinal Vessel Segmentation","url":"/task/artery-veins-retinal-vessel-segmentation","datasets_with_task":"/datasets/task/artery-veins-retinal-vessel-segmentation"}],"languages":[],"variants":["HRF"],"data_loaders":[{"repo":"https://github.com/open-mmlab/mmsegmentation","url":"https://github.com/open-mmlab/mmsegmentation/blob/master/docs/dataset_prepare.md","frameworks":["pytorch"]}],"num_papers_in_archive":53,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/retinal-vessel-segmentation-on-hrf","task":"Retinal Vessel Segmentation","dataset_variant":"HRF","rows":4,"metrics":["AUC","F1 score","MCC","mIoU","1:1 Accuracy","Acc","Average IOU","DSC","Sensitivity"],"first_row_in_archive_order":{"model":"FSG-Net","paper":"/paper/full-scale-representation-guided-network-for","metrics":{"AUC":"0.9874","Acc":"0.9710","F1 score":"0.8156","MCC":"0.8012","Sensitivity":"0.8361","mIoU":"0.8308"},"code_links":[{"title":"zombasy/fsg-net-pytorch","url":"https://github.com/zombasy/fsg-net-pytorch"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/artery-veins-retinal-vessel-segmentation-on-4","task":"Artery/Veins Retinal Vessel Segmentation","dataset_variant":"HRF","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RRWNet","paper":"/paper/rrwnet-recursive-refinement-network-for","metrics":{"Accuracy":"0.9783"},"code_links":[{"title":"j-morano/rrwnet","url":"https://github.com/j-morano/rrwnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/classification-on-hrf","task":"Classification","dataset_variant":"HRF","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"RRWNet","paper":"/paper/rrwnet-recursive-refinement-network-for","metrics":{"Accuracy":"0.9783"},"code_links":[{"title":"j-morano/rrwnet","url":"https://github.com/j-morano/rrwnet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dual-encoding-feature-filtering-generalized","title":"Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation","date":"2025-06-02","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/full-scale-representation-guided-network-for","title":"Full-scale Representation Guided Network for Retinal Vessel Segmentation","date":"2025-01-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/rrwnet-recursive-refinement-network-for","title":"RRWNet: Recursive Refinement Network for effective retinal artery/vein segmentation and classification","date":"2024-02-05","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/resolution-aware-design-of-atrous-rates-for","title":"Resolution-Aware Design of Atrous Rates for Semantic Segmentation Networks","date":"2023-07-26","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/deep-vessel-segmentation-by-learning","title":"Deep Vessel Segmentation By Learning Graphical Connectivity","date":"2018-06-06","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."}