Autonomous Vehicle System

The Project

This image classification model was made in Google Colab using the Python TensorFlow library. The training dataset consisted of around 900 images, and the model is able to recognize and classify the stop sign, crosswalk sign, traffic light, and speed limit sign. I chose these four signs because they're the most crucial ones to look out for when operating a car on the road. Once the model receives graphical input (a photo) from the user's camera, it is able to give a prediction to the road sign that's ahead. In training the model, an accuracy of 92% was achieved, with only 7 out of 88 images identified incorrectly. The project is not finished, as I'm hoping to learn more about the operations of onboard computers of autonomous vehicles. I hope to be able to implement my model into a car as a trial!

View this project on YouTube