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Class distribution data for a dataset used to train a MaxViT model for classifying diabetic retinopathy, glaucoma, and cataracts from fundus images. The model achieved 96.75% macro-averaged accuracy. Authored by Md Mehedi Hasan Santo and uploaded to Figshare in April 2026.
File is in XLS (Excel) format. The 5.5 KB size indicates it contains only aggregated class distribution data, not the original image dataset.