Traffic Light Classifier Project (Final project for the Introduction to Self-Driving-Cars Engineer Nanodegree)
This is a traffic light classifier project using Python and basic OpenCV2 techniques to recognize traffic lights. And it is also part of the final project of the Udacity's Introduction to Self-Driving Car Engineer Nanodegree.
In this project, knowledge of computer vision techniques is used to build a classifier for images of traffic lights.
Here are some sample images from the dataset (from left to right: red, green, and yellow traffic lights):
- More than 90% accuracy
- Never classify a red light as a green vice versa
I have achieved 91%