Upload mobile_model.h5
Browse filesRetinaVision-MNet is a custom-trained MobileNetV2 model designed for multi-class retinal disease detection using fundus images. The model predicts 10 retinal conditions and integrates Grad-CAM heatmaps for clear, interpretable visual explanations. The system is deployed as a full FastAPI application with secure JWT authentication, async image upload and inference, and a responsive frontend UI. Together, this transforms RetinaVision-MNet into a complete end-to-end retinal disease detection platform accessible through a web interface.
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c3697e2b1d512dc82aeb478ee1148acbb3294094a5fce6124476e69af82f5d6
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size 35633600
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