RetinaVision-MNet is a custom-trained MobileNetV2-based deep learning model for multi-class retinal disease detection. It predicts 10 retinal conditions from fundus images and generates Grad-CAM heatmaps for interpretable diagnosis. The model was trained from scratch and is hosted on Hugging Face due to GitHub size limits.
Key Features
10-class retinal disease classification
MobileNetV2 backbone (lightweight + high accuracy)
Grad-CAM visual explanations
Trained from scratch on curated dataset
Optimized for FastAPI deployment
Usage
Download the model file from the Files and Versions tab and load it into your application.