Project: Build a Traffic Sign Recognition Program

Overview

In this project, I am using deep neural networks and convolutional neural networks to classify traffic signs. I trained a model so it can decode traffic signs from natural images by using the German Traffic Sign Dataset. After the model is trained, I testes the model on new images of traffic signs that I found on the web.

Dependencies

This lab requires:

• CarND Term1 Starter Kit

The lab enviroment can be created with CarND Term1 Starter Kit. Click here for the details.

Dataset

1. Download the dataset. This is a pickled dataset in which we've already resized the images to 32x32.
2. Clone the project and start the notebook.

git clone https://github.com/udacity/CarND-Traffic-Sign-Classifier-Project
cd CarND-Traffic-Sign-Classifier-Project
jupyter notebook Traffic_Sign_Classifier.ipynb

3. Follow the Traffic_Sign_Recognition.ipynb notebook, to see the implementation and other details about the project.