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
Image Source: https://www.researchgate.net/figure/Examples-of-fundus-images-from-HRF-database-with-corresponding-hand-labelled-gold_fig1_260625531
Variants: HRF
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Retinal Vessel Segmentation | DEFFA-Unet | Dual encoding feature filtering generalized … | 2025-06-02 |
| Retinal Vessel Segmentation | FSG-Net | Full-scale Representation Guided Network for … | 2025-01-31 |
| Classification | RRWNet | RRWNet: Recursive Refinement Network for … | 2024-02-05 |
| Retinal Vessel Segmentation | U-Net ASPP | Resolution-Aware Design of Atrous Rates … | 2023-07-26 |
| Retinal Vessel Segmentation | VGN | Deep Vessel Segmentation By Learning … | 2018-06-06 |
Recent papers with results on this dataset: