alex-lechner/Traffic-Light-Classification
A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.
This project offers a detailed guide for engineers developing self-driving car systems to accurately identify the state of traffic lights. It uses various image datasets of traffic lights and applies machine learning techniques to classify them as red, yellow, or green. The output is a highly precise traffic light classifier, crucial for autonomous navigation systems.
125 stars. No commits in the last 6 months.
Use this if you are a self-driving car engineer who needs to train a robust traffic light classification model for an autonomous vehicle's perception system.
Not ideal if you're looking for a plug-and-play solution without understanding the underlying training process or if your domain is not related to self-driving cars.
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125
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55
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 27, 2018
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