This project is a traffic signs detection and classification system on pictures using TensorFlow. Two architectures where implemented and compared VGG and LeNet
Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. The VGG model was able to reach a 99.3% validation accuracy, and a 97.6% testing accuracy.