This repository contains the implementation of a Diabetic Retinopathy Classification project using three state-of-the-art deep learning models: Swin Transformer, Vision Transformer (ViT), and YOLOv11m. The goal of this research is to detect and classify diabetic retinopathy from fundus images into five distinct classes (Class 0 to Class 4).