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In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.
German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.