Evaluation benchmark for natural robustness evaluation of retinal vessel segmentation models
Version 1A dataset contains benchmark images for natural robustness evaluation of deep learning models for retinal vessel segmentation. The dataset consists of three mainstream retinal vessel segmentation datasets: DRIVE, STARE, and CHASE_DB1. For each dataset are provided: images - directory containing fundus images augmented using AugOOD tool for fast image augmentation for OOD robustness evaluation. labels - directory with labels that correspond to the images. masks - directory with FoV masks th
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A dataset contains benchmark images for natural robustness evaluation of deep learning models for retinal vessel segmentation. The dataset consists of three mainstream retinal vessel segmentation datasets: DRIVE, STARE, and CHASE_DB1.
For each dataset are provided:
images - directory containing fundus images augmented using AugOOD tool for fast image augmentation for OOD robustness evaluation.
labels - directory with labels that correspond to the images.
masks - directory with FoV masks th