The Glaucoma Dataset is a comprehensive collection of retinal fundus images designed for the automated detection and classification of glaucoma. Containing between 10,000 and 100,000 high-quality images, this dataset aims to support the development and evaluation of machine learning and deep learning models in the field of ophthalmic medical imaging.
The dataset is organized using the standard imagefolder format, making it highly… See the full description on the dataset page: https://huggingface.co/datasets/Nj-1111/Glaucoma_Dataset.
