This project was part of the cs50_ai curriculum which provide the challenge to process the very large dataset of traffic sign images and determine if there is a specific traffic sign present in the image. I split loaded the data, split the dataset, and built a model that could train in only 10 epochs to get 96% accuracy. You can find the code on GitHub here: https://github.com/c-crowder/cs50_ai/tree/main/traffic
Python, Keras