Architecture:
• Experimented on different CNN architectures like VGG, AlexNet, ResNet to classify 43 different traffic signs
• Utilized ResNet50 pretrained weights, implemented classifier using PyTorch (GPU) and achieved 99.6% accuracy
Link : https://github.com/vivekpandian08/Traffic-Sign-Recognition-Using-Deep-Learning
Demo: