German Traffic Sign Recognition

Project Overview

The goal of this project is to build a classifier to recognize taffic signs using deep neural networks and convolutional neural networks. We will train and validate a model so it can classify traffic sign images using the German Traffic Sign Dataset. After the model is trained, We will then try out our model on images of German traffic signs that we find on the web.

Files in the repository

• Code for the algorithm is contained in the IPython notebook as well as python script Python Script File

• A writeup detailing the results of the project and describing the procedure for classifying Traffic signs.

Running the code

This project was developed using Python 3.5. The IPython notebook can be run using Jupyter Notebooks. The project depends on the,

1. NumPY
2. OpenCV
3. Matplotlib
4. Pickle
5. Tensorflow