This is a computer vision enabled project working on CNN algorithm for classification. It can produce accurate result of more than 90%. Several techniques like dropouts, batch normalization is been used for improving its accuracy.
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Developed CNN model with 93% validation accuracy using techniques like Dropouts & Batch Normalization. Using haar cascade of Computer Vision It is then used to detect sunglasses on real time basis
jaunel/Live-detection-of-Sunglasses
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Developed CNN model with 93% validation accuracy using techniques like Dropouts & Batch Normalization. Using haar cascade of Computer Vision It is then used to detect sunglasses on real time basis
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