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Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy ...

This is where we are right now. Today, they dig deeper, to help us see new layers of a problem and start to solve it.