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REFUGE2
Retinal fundus image dataset from the REFUGE2 Challenge (Retinal Fundus Glaucoma Challenge, 2nd edition, MICCAI 2020 / OMIA workshop) — a standard benchmark for evaluating automated algorithms for glaucoma detection and optic disc/cup segmentation on retinal fundus photographs.
This repository mirrors the Kaggle dataset victorlemosml/refuge2 (4.2 GB, 2,400 files), uploaded for convenient access via Hugging Face.
Challenge tasks
- Classification of clinical glaucoma
- Segmentation of the optic disc and cup
- Localization of the fovea (macular center)
Dataset structure
| Split | Images | Masks | Notes |
|---|---|---|---|
| train | 400 JPG (g####.jpg) |
400 BMP | glaucoma cases prefixed g, non-glaucoma n |
| val | 400 JPG (V####.jpg) |
400 PNG | |
| test | 400 JPG (T####.jpg) |
400 BMP |
train/images/*.jpg train/mask/*.bmp
val/images/*.jpg val/mask/*.png
test/images/*.jpg test/mask/*.bmp
- Images: color fundus photographs (JPEG), centered at the posterior pole with both the macula and optic disc visible. The REFUGE data were acquired with Zeiss Visucam 500 (2124×2056) and Canon CR-2 (1634×1634) cameras; REFUGE2 added images from Kowa (validation) and Topcon (test) devices.
- Masks: pixel-wise optic disc/cup reference segmentations produced by seven
independent glaucoma specialists and merged by a senior specialist.
Pixel values:
0= optic cup,128= optic disc,255= background. - Glaucoma labels: reference standard from full clinical records (follow-up fundus images, IOP, OCT, visual fields), not from the fundus image alone. About 10% of cases are glaucomatous.
Original sources
- Challenge website: https://refuge.grand-challenge.org/Home2020/
- Kaggle mirror (source of this upload): https://www.kaggle.com/datasets/victorlemosml/refuge2
- Paper: Orlando et al., "REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs", Medical Image Analysis 59, 101570 (2020).
License / terms
The Kaggle listing marks the license as "Unknown". The REFUGE/REFUGE2 challenge data are distributed by the challenge organizers for research purposes; please refer to the terms on the challenge website before use and do not redistribute for commercial purposes.
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