A Convolutional Neural Network model to classify traffic signs based on a picture of them.
Language: Python 3
Libraries: opencv-python, scikit-learn, tensorflow
Dataset: GTSRB - German Traffic Sign Recognition Benchmark
The model achieves an accuracy of ~93%.