Traffic-sign recognition (TSR) technology- a technology by which a vehicle is able to recognize the traffic signs that are placed on the road e.g. “ Turn right ahead”, “Speed limit”, or “Stop” etc.- can be implemented using CNNs. This is important because a prompt response to real-time traffic events can prevent road accidents.This article will explain all the steps taken to design a Deep Learning model to do that.

1. Importing Libraries and Dataset

Key python libraries will be imported.

The dataset used is a German Traffic Sign Dataset. We will use around 34,800 images for training dataset, 12630 images for test dataset and 4410 images for validation dataset.

#automation #convolutional-network #deep-learning #machine-learning #self-driving-cars