AMDNet23: Fundus Image Dataset for Age-Related Macular Degeneration Disease Detection

AMDNet23 is a curated dataset of 2000 high-quality fundus images compiled from six public sources: Ocular Disease Recognition, DR_200, Fundus Dataset, RFMiD, HRF, and ARIA. It includes 4 balanced classes with 400 images each: Normal, Diabetes, Cataract, and Age-related Macular Degeneration (AMD). All images were enhanced using advanced preprocessing techniques (Gamma correction, CLAHE and so on) to improve diagnostic clarity. This dataset supports research in deep learning-based ocular disease detection and classification.