This dataset contains 19 converted fundus datasets from OmniMedSeg.
QUICK REFERENCE: DATASETS AND LICENSES
AKRAM: CC-BY 4.0
CHAKSU: CC-BY 4.0
CHASEDB: CC-BY 4.0
COPH100: CC-BY 4.0
CSC: CC-BY 4.0
FIVES: CC-BY 4.0
FUNDUS_AV_SEG: CC-BY 4.0
HRF: CC-BY 4.0
HVDROPDB: CC-BY 4.0
LES_AV: GPL-3.0
NETRA: CC-BY 4.0
OCUTOX: CC-BY 4.0
ORVS: "We also created a new dataset that can help researchers working in this field."
PAPILA: GPL-3.0
RAVIR: CC BY-NC-SA 4.0
RETA: CC-BY 4.0
ROP: CC-BY 4.0
STARE: "All our images and data are freely available for other researchers"
TREND: CC-BY 4.0
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DETAILED INFORMATION BY DATASET
[1] AKRAM
License: CC-BY 4.0
Dataset link: https://data.mendeley.com/datasets/3csr652p9y/2
Metadata file: Fundus/AKRAM/metadata.json
Citation (bibtex):
@article{akram2020data,
title={Data on fundus images for vessels segmentation, detection of hypertensive retinopathy, diabetic retinopathy and papilledema},
author={Akram, Muhammad Usman and Akbar, Shahzad and Hassan, Taimur and Khawaja, Sajid Gul and Yasin, Ubaidullah and Basit, Imran},
journal={Data in brief},
volume={29},
pages={105282},
year={2020},
publisher={Elsevier}
}
[2] CHAKSU
License: CC-BY 4.0
Dataset link: https://figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135?file=38944805
Metadata file: Fundus/CHAKSU/metadata.json
Citation (bibtex):
@article{J R2023,
author = "Harish Kumar J R and Chandra Sekhar Seelamantula",
title = "{Chákṣu IMAGE: A glaucoma-specific fundus image database}",
year = "2023",
month = "1",
url = "https://figshare.com/articles/dataset/Ch_k_u_A_glaucoma_specific_fundus_image_database/20123135",
doi = "10.6084/m9.figshare.20123135.v2"
}
[3] CHASEDB
License: CC-BY 4.0
Dataset link: https://researchinnovation.kingston.ac.uk/en/datasets/chasedb1-retinal-vessel-reference-dataset-4/
Metadata file: Fundus/CHASEDB/metadata.json
Citation (bibtex):
@article{fraz2012ensemble,
title={An ensemble classification-based approach applied to retinal blood vessel segmentation},
author={Fraz, Muhammad Moazam and Remagnino, Paolo and Hoppe, Andreas and Uyyanonvara, Bunyarit and Rudnicka, Alicja R and Owen, Christopher G and Barman, Sarah A},
journal={IEEE transactions on biomedical engineering},
volume={59},
number={9},
pages={2538--2548},
year={2012},
publisher={IEEE}
}
[4] COPH100
License: CC-BY 4.0
Dataset link: https://springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084?file=51235925
Metadata file: Fundus/COPH100/metadata.json
Citation (bibtex):
@article{Gong2025,
author = "Mingdao Gong and Yan Hu",
title = "{COph100:A Comprehensive Fundus Image Registration Dataset from Infants constituting the "RIDIRP" database}",
year = "2025",
month = "1",
url = "https://springernature.figshare.com/articles/dataset/COph100_A_Comprehensive_Fundus_Image_Registration_Dataset_from_Infants_constituting_the_RIDIRP_database/27061084",
doi = "10.6084/m9.figshare.27061084.v1"
}
[5] CSC
License: CC-BY 4.0
Dataset link: https://data.mendeley.com/datasets/4k64fwnp4k/5
Metadata file: Fundus/CSC/metadata.json
Citation (bibtex):
@article{yoo2022simple,
title={Simple code implementation for deep learning--based segmentation to evaluate central serous chorioretinopathy in fundus photography},
author={Yoo, Tae Keun and Kim, Bo Yi and Jeong, Hyun Kyo and Kim, Hong Kyu and Yang, Donghyun and Ryu, Ik Hee},
journal={Translational vision science & technology},
volume={11},
number={2},
pages={22--22},
year={2022},
publisher={The Association for Research in Vision and Ophthalmology}
}
[6] FIVES
License: CC-BY 4.0
Dataset link: https://figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169/1
Metadata file: Fundus/FIVES/metadata.json
Citation (bibtex):
@article{Jin2022,
author = "Kai Jin and Xingru Huang and Jingxin Zhou and Yunxiang Li and Yan Yan and Yibao Sun and Qianni Zhang and Yaqi Wang and Juan Ye",
title = "{FIVES: A Fundus Image Dataset for AI-based Vessel Segmentation}",
year = "2022",
month = "5",
url = "https://figshare.com/articles/figure/FIVES_A_Fundus_Image_Dataset_for_AI-based_Vessel_Segmentation/19688169",
doi = "10.6084/m9.figshare.19688169.v1"
}
[7] FUNDUS_AV_SEG
License: CC-BY 4.0
Dataset link: https://figshare.com/articles/dataset/Fundus-AVSeg/27938034?file=50905809
Metadata file: Fundus/FUNDUS_AV_SEG/metadata.json
Citation (bibtex):
@article{Deng2024,
author = "Zhuo Deng",
title = "{Fundus-AVSeg：用于基于 AI 的动脉静脉分割的眼底图像数据集}",
year = "2024",
month = "12",
url = "https://figshare.com/articles/dataset/Fundus-AVSeg/27938034",
doi = "10.6084/m9.figshare.27938034.v2"
}
[8] HRF
License: CC-BY 4.0
Dataset link: https://www5.cs.fau.de/research/data/fundus-images/
Metadata file: Fundus/HRF/metadata.json
Citation (bibtex):
@article{budai2013robust,
title={Robust vessel segmentation in fundus images},
author={Budai, Attila and Bock, R{"u}diger and Maier, Andreas and Hornegger, Joachim and Michelson, Georg},
journal={International journal of biomedical imaging},
volume={2013},
number={1},
pages={154860},
year={2013},
publisher={Wiley Online Library}
}
[9] HVDROPDB
License: CC-BY 4.0
Dataset link: https://data.mendeley.com/datasets/xw5xc7xrmp/3
Metadata file: Fundus/HVDROPDB/metadata.json
Citation (bibtex):
@article{agrawal2024hvdropdb,
title={HVDROPDB datasets for research in retinopathy of prematurity},
author={Agrawal, Ranjana and Walambe, Rahee and Kotecha, Ketan and Gaikwad, Anita and Deshpande, Col Madan and Kulkarni, Sucheta},
journal={Data in Brief},
volume={52},
pages={109839},
year={2024},
publisher={Elsevier}
}
[10] LES_AV
License: GPL-3.0
Dataset link: https://figshare.com/articles/dataset/LES-AV_dataset/11857698?file=21732282
Metadata file: Fundus/LES_AV/metadata.json
Citation (bibtex):
@article{Orlando2020,
author = "José Ignacio Orlando and João Barbosa–Breda and Karel Van Keer and Matthew B. Blaschko and Pablo Javier Blanco and Carlos Alberto Bulant",
title = "{LES-AV dataset}",
year = "2020",
month = "2",
url = "https://figshare.com/articles/dataset/LES-AV_dataset/11857698",
doi = "10.6084/m9.figshare.11857698.v1"
}
[11] NETRA
License: CC-BY 4.0
Dataset link: https://figshare.com/articles/dataset/NETRA_Dataset/22817144?file=40564889
Metadata file: Fundus/NETRA/metadata.json
Citation (bibtex):
@article{Goperma2023,
author = "Rimsa Goperma",
title = "{NETRA Dataset}",
year = "2023",
month = "5",
url = "https://figshare.com/articles/dataset/NETRA_Dataset/22817144",
doi = "10.6084/m9.figshare.22817144.v1"
}
[12] OCUTOX
License: CC-BY 4.0
Dataset link: https://zenodo.org/records/13883485
Metadata file: Fundus/OCUTOX/metadata.json
Citation (bibtex):
@dataset{parra_2021_13883485,
author = {Parra, Rodrigo and
Ojeda, Verena and
Mello-Román, Julio César and
Vázquez Noguera, José Luis and
García-Torres, Miguel and
Villalba, Cynthia and
Facon, Jacques and
Divina, Federico and
Cardozo, Olivia and
Castillo, Verónica and
Castro, Ingrid},
title = {Ocular Toxoplasmosis Fundus Images Dataset},
month = aug,
year = 2021,
publisher = {Zenodo},
version = {3.0.0},
doi = {10.5281/zenodo.13883485},
url = {https://doi.org/10.5281/zenodo.13883485}
}
[13] ORVS
License: "We also created a new dataset that can help researchers working in this field."
Dataset link: https://github.com/AbdullahSarhan/ICPRVessels
Metadata file: Fundus/ORVS/metadata.json
Citation (bibtex):
@inproceedings{sarhan2021transfer,
title={Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images},
author={Sarhan, Abdullah and Rokne, Jon and Alhajj, Reda and Crichton, Andrew},
booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
pages={9211--9218},
year={2021},
organization={IEEE}
}
[14] PAPILA
License: GPL-3.0
Dataset link: https://figshare.com/articles/dataset/PAPILA/14798004?file=35013982
Metadata file: Fundus/PAPILA/metadata.json
Citation (bibtex):
@article{Kovalyk2022,
author = "Oleksandr Kovalyk and Juan Morales-Sánchez and Rafael Verdú-Monedero and Inmaculada Sellés-Navarro and Ana Palazón-Cabanes and José-Luis Sancho-Gómez",
title = "{PAPILA}",
year = "2022",
month = "4",
url = "https://figshare.com/articles/dataset/PAPILA/14798004",
doi = "10.6084/m9.figshare.14798004.v2"
}
[15] RAVIR
License: CC BY-NC-SA 4.0
Dataset link: https://ravir.grand-challenge.org/data/
Metadata file: Fundus/RAVIR/metadata.json
Citation (bibtex):
@article{hatamizadeh2022ravir,
title={RAVIR: A dataset and methodology for the semantic segmentation and quantitative analysis of retinal arteries and veins in infrared reflectance imaging},
author={Hatamizadeh, Ali and Hosseini, Hamid and Patel, Niraj and Choi, Jinseo and Pole, Cameron C and Hoeferlin, Cory M and Schwartz, Steven D and Terzopoulos, Demetri},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={26},
number={7},
pages={3272--3283},
year={2022},
publisher={IEEE}
}
[16] RETA
License: CC-BY 4.0
Dataset link: https://reta-benchmark.org/dataset/
Metadata file: Fundus/RETA/metadata.json
Citation (bibtex):
@article{lyu2022reta,
title={The reta benchmark for retinal vascular tree analysis},
author={Lyu, Xingzheng and Cheng, Li and Zhang, Sanyuan},
journal={Scientific Data},
volume={9},
number={1},
pages={397},
year={2022},
publisher={Nature Publishing Group UK London}
}
[17] ROP
License: CC-BY 4.0
Dataset link: https://data.mendeley.com/datasets/tv3b2bt6dy/2
Metadata file: Fundus/ROP/metadata.json
Citation (bibtex):
@article{wang2021automated,
title={Automated explainable multidimensional deep learning platform of retinal images for retinopathy of prematurity screening},
author={Wang, Ji and Ji, Jie and Zhang, Mingzhi and Lin, Jian-Wei and Zhang, Guihua and Gong, Weifen and Cen, Ling-Ping and Lu, Yamei and Huang, Xuelin and Huang, Dingguo and others},
journal={JAMA network open},
volume={4},
number={5},
pages={e218758},
year={2021}
}
[18] STARE
License: "All our images and data are freely available for other researchers to use in evaluating related methods."
Dataset link: https://cecas.clemson.edu/~ahoover/stare/
Metadata file: Fundus/STARE/metadata.json
Citation (bibtex):
@article{hoover2000locating,
title={Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response},
author={Hoover, AD and Kouznetsova, Valentina and Goldbaum, Michael},
journal={IEEE Transactions on Medical imaging},
volume={19},
number={3},
pages={203--210},
year={2000},
publisher={IEEE}
}
[19] TREND
License: CC-BY 4.0
Dataset link: https://zenodo.org/records/4521044
Metadata file: Fundus/TREND/metadata.json
Citation (bibtex):
@article{popovic2021trend,
title={TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera},
author={Popovic, Natasa and Vujosevic, Stela and Radunovi{'c}, Miroslav and Radunovi{'c}, Miodrag and Popovic, Tomo},
journal={Plos one},
volume={16},
number={7},
pages={e0254918},
year={2021},
publisher={Public Library of Science San Francisco, CA USA}
}
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IMPORTANT NOTES
- All datasets listed are publicly available
- Full metadata is stored in each dataset's metadata.json file
- For CC0-licensed datasets, attribution is appreciated but not required