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.
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
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.
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