Omkar2118/datasets huggingface dataset:
HRF
Full name: High-Resolution Fundus

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](https://arxiv.org/abs/1903.05558)
Image Source: [https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531](https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531)

Introducing paper: Robust Vessel Segmentation in Fundus Images