{"url":"/dataset/rose","name":"ROSE","full_name":"Retinal OCTA SEgmentation dataset","description_markdown":"Retinal OCTA SEgmentation dataset (ROSE) consists of 229 OCTA images with vessel annotations at either centerline-level or pixel level.\r\n\r\nSource: [ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model](https://arxiv.org/pdf/2007.05201.pdf)\r\nImage Source: [https://imed.nimte.ac.cn/dataofrose.html](https://imed.nimte.ac.cn/dataofrose.html)","description_withheld":null,"homepage":"https://imed.nimte.ac.cn/dataofrose.html","introduced_date":"2020-07-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/rose-a-retinal-oct-angiography-vessel","title":"ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model","first_author":"Yuhui Ma","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Retinal Vessel Segmentation","url":"/task/retinal-vessel-segmentation","datasets_with_task":"/datasets/task/retinal-vessel-segmentation"}],"languages":[],"variants":["ROSE","ROSE-1 SVC","ROSE-1 SVC-DVC","ROSE-1 DVC","ROSE-2"],"data_loaders":[],"num_papers_in_archive":25,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/retinal-vessel-segmentation-on-rose-1-dvc","task":"Retinal Vessel Segmentation","dataset_variant":"ROSE-1 DVC","rows":5,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"OCTA-Net","paper":"/paper/rose-a-retinal-oct-angiography-vessel","metrics":{"Dice Score":"70.74"},"code_links":[{"title":"iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network","url":"https://github.com/iMED-Lab/OCTA-Net-OCTA-Vessel-Segmentation-Network"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/retinal-vessel-segmentation-on-rose-1-svc","task":"Retinal Vessel Segmentation","dataset_variant":"ROSE-1 SVC","rows":5,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"OCTAve: OCTA-Net","paper":"/paper/octave-2d-en-face-optical-coherence","metrics":{"Dice Score":"78.03"},"code_links":[{"title":"IoBT-VISTEC/OCTAve","url":"https://github.com/IoBT-VISTEC/OCTAve"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/retinal-vessel-segmentation-on-rose-1-svc-dvc","task":"Retinal Vessel Segmentation","dataset_variant":"ROSE-1 SVC-DVC","rows":5,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"OCTAve: OCTA-Net","paper":"/paper/octave-2d-en-face-optical-coherence","metrics":{"Dice Score":"81.42"},"code_links":[{"title":"IoBT-VISTEC/OCTAve","url":"https://github.com/IoBT-VISTEC/OCTAve"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/retinal-vessel-segmentation-on-rose-2","task":"Retinal Vessel Segmentation","dataset_variant":"ROSE-2","rows":5,"metrics":["Dice Score"],"first_row_in_archive_order":{"model":"OCTAve: OCTA-Net","paper":"/paper/octave-2d-en-face-optical-coherence","metrics":{"Dice Score":"71.18"},"code_links":[{"title":"IoBT-VISTEC/OCTAve","url":"https://github.com/IoBT-VISTEC/OCTAve"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/octave-2d-en-face-optical-coherence","title":"OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation","date":"2022-07-25","rows_on_this_dataset":4,"code_links":1,"syntology":null},{"paper":"/paper/rose-a-retinal-oct-angiography-vessel","title":"ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model","date":"2020-07-10","rows_on_this_dataset":4,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":2,"samples_unverified":9,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/ce-net-context-encoder-network-for-2d-medical","title":"CE-Net: Context Encoder Network for 2D Medical Image Segmentation","date":"2019-03-07","rows_on_this_dataset":4,"code_links":3,"syntology":null},{"paper":"/paper/road-extraction-by-deep-residual-u-net","title":"Road Extraction by Deep Residual U-Net","date":"2017-11-29","rows_on_this_dataset":4,"code_links":13,"syntology":null},{"paper":"/paper/u-net-convolutional-networks-for-biomedical","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","date":"2015-05-18","rows_on_this_dataset":4,"code_links":487,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":757,"samples_ran":510,"samples_unverified":247,"pointer_only_for_licence":426,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":2,"samples_harvested":768,"samples_ran":512,"samples_unverified":256,"pointer_only_for_licence":426,"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."}