Neural Network to classify Road Signs based on their images
As research in the field of Self-Driving cars continues, one of the most important challenges faced by scientists and engineers is Computer Vision. Computer Vision allows these cars to develop an understanding of their environment by analyzing digital images. Therefore what we are going to be dealing with is the ability to recognize and distinguish between differetn road signs like for example the STOP signal, SPEED LIMIT signs, yield signs, etc.
So, in this project, I have used Tensorflow to build a neural network to classify road signs based on images of those signs. For this we have used a labeled dataset: a collection of images that have already been categorized by the road signs represented by them.
The labeled dataset that we have used in this project