Too Long; Didn't Read
I’m going to describe a complete pipeline for <strong>Traffic Sign Recognition</strong> problem posed in <a href="https://www.udacity.com/course/self-driving-car-engineer-nanodegree--nd013" target="_blank">Udacity course</a> “Self-Driving Cars Engineer”. Traffic Sign Recognition is a basic, day by day task for self-driving cars. That’s why it has to be covered in the <a href="http://tomaszkacmajor.pl/index.php/2017/05/07/self-driving-cars-in-python/" target="_blank">series about Self-Driving Cars</a> where I present different projects related to this field. The recognition system processes a traffic sign image extracted from the road scene. Eventually, it should classify that sign into one of 43 categories. In order to make it happen, a <strong>Convolutional Neural Network</strong> is applied, being trained with 50.000 images beforehand.