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Traffic-Light-Classifier

This is the final project for the Intro to SDC ND. It uses computer vision (OpenCV) to process and classify images into red, green, and yellow lights. Techniques used include resizing, cropping, masking, feature extraction, and classifying. An accuracy rate of 93.9% was achieved.

Pre-requisite

How to use Jupyter Notebooks?