以下为作者原文，图片与外部链接在院内网络不可用。
来源说明：官方 = 数据集作者/机构本人上传；完整转存 = 第三方原样转存；处理版 = 第三方子集、切片或格式转换（可能与原始数据不同）。许可以仓库声明为准，第三方转存的原始许可由工作人员下载前核对。
FIVES
800 high-resolution 2048 × 2048 images with pixel-wise manual annotations from 573 Asian patients aged 4–83, collected 2016–2021 at the Ophthalmology Centre of the Second Affiliated Hospital of Zhejiang University and balanced at 200 images each across normal controls, diabetic retinopathy, age-related macular degeneration and glaucoma. Annotation ran December 2020–June 2021 by 3 senior practitioners and 24 medical staff, each image labeled by two juniors then verified by a senior. Released on figshare 2022-05-01 (CC BY 4.0).
Classes
| id | name |
|---|---|
| 0 | Background (black, non-vessel) |
| 255 | Vessel (white) |
License
CC BY 4.0 (https://api.figshare.com/v2/articles/19688169)
Citation
Jin K, Huang X, Zhou J, Li Y, Yan Y, Sun Y, Zhang Q, Wang Y, Ye J. "FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation." Scientific Data 9, 475 (2022). doi:10.1038/s41597-022-01564-3