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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

  1. Classification of clinical glaucoma
  2. Segmentation of the optic disc and cup
  3. 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

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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