Traffic Sign Recognition Program Solution

Introduction

This my solution to the traffic sign classification project for Term 1 of the Udacity self-driving car nano-degree program.

The Project

For reference, the goals / steps of this project were the following:

• Load the data set
• Explore, summarize and visualize the data set
• Design, train and test a model architecture
• Use the model to make predictions on new images
• Analyze the softmax probabilities of the new images
• Summarize the results with a written report

Project Files

My solution consists of the following files and directories:

• Writeup is my detailed writeup for the project
• This IPython notebook contains the code for my solution
• The web traffic signs directory contains 5 traffic signs I downloaded from the web to use as an extra test set
• The web traffic signs processed directory contains the 5 web traffic signs images cropped and resized

Dependencies

This lab requires:

• CarND Term1 Starter Kit