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https://github.com/parap1uie-s/synfundus-1m

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.
https://github.com/parap1uie-s/synfundus-1m

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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.

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README

          

# SynFundus-1M

[![Data License](https://img.shields.io/badge/Data_License-CC_BY_NC_SA_4.0-red)](./LICENSE)

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.

# News

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](https://huggingface.co/chknug)!

# Demo visualize
![SynFundus-1M Demo](./assets/demo.png)

SynFundus-1M images are annotated with 11 diseases types and 4 types of quality score.

# Request SynFundus-1M

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](https://forms.gle/FHRxZoAwFGGs1mEs8).

# Citation

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}
}
```

# License
The dataset is [CC-BY-NC-SA 4.0](./LICENSE) (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes.