The Diabetic Retinopathy Detector is a 97.5% accurate model for predicting diabetic retinopathy severity from retinal images, accessible via a public API for healthcare and research use.
The Diabetic Retinopathy Detector is a 97.5% accurate model for predicting diabetic retinopathy severity from retinal images, accessible via a public API for healthcare and research use.
An AI-powered tool leveraging ResNet-50 and Xception pretrained models to detect diabetic retinopathy with 97.5% accuracy. Upload a retinal image to instantly classify severity levels, aiding in early diagnosis and vision loss prevention.
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