HRF (High-Resolution Fundus)

Introduced by Attila Budai et al. in Robust Vessel Segmentation in Fundus Images

The HRF dataset is a dataset for retinal vessel segmentation which comprises 45 images and is organized as 15 subsets. Each subset contains one healthy fundus image, one image of patient with diabetic retinopathy and one glaucoma image. The image sizes are 3,304 x 2,336, with a training/testing image split of 22/23.

Source: Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation


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