High-Resolution Retinal Fundus Dataset for Diabetic Retinopathy Detection from Aizawl

This dataset contains high-resolution retinal fundus images collected from 495 unique subjects from Eye Care hospital in Aizawl, Mizoram, for diabetic retinopathy (DR) detection and classification. The images were captured over five years using the OCT RS 330 device, which features a 45° field of view (33° for small-pupil imaging), a focal length of 45.7 mm, and a 6.25 mm sensor width. Each image was acquired at a resolution of 3000x3000 pixels, ensuring high diagnostic quality and the visibility of subtle features like microaneurysms, exudates, and hemorrhages. Annotations were conducted by an experienced ophthalmologist using established DR grading standards. Each image is categorized into one of five (0-4) DR severity levels: no DR, mild DR, moderate DR, severe DR, and proliferative DR. The dataset reflects the unique demographic and healthcare characteristics of Mizoram, addressing the gap in representation of underrepresented populations in existing DR research. This dataset provides an invaluable resource for advancing AI-based DR detection, with applications in classification, segmentation, and augmentation studies.