SynFundus-1M is a synthetic fundus image dataset consisting of millions of images and extensive annotations that can help improve the performance of diagnostic models.
Usage and License Notices: The data is intended and licensed for research use only.
We have uploaded the dataset to huggingface dataset.
Researchers who cannot access BaiduNetDisk please provide huggingface username (re-fill in the application form).
Thanks for the help from Alen Li!
SynFundus-1M images are annotated with 11 diseases types and 4 types of quality score.
SynFundus-1M is for research purposes only, and researchers must comply with the CC-BY-NC-SA 4.0 agreement.
Researchers may send request via the application form.
If you find SynFundus-1M useful for your research and applications, please cite using this BibTeX:
@misc{shang2023synfundus,
title={SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations},
author={Fangxin Shang and Jie Fu and Yehui Yang and Haifeng Huang and Junwei Liu and Lei Ma},
year={2023},
eprint={2312.00377},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
The dataset is CC-BY-NC-SA 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.