I used neural networks to see what a self-driving car sees

The images above are examples of the three possible classes I needed to predict: no traffic light (left), red traffic light (center) and green traffic light (right). The challenge required the solution to be based on Convolutional Neural Networks, a very popular method used in image recognition with deep neural networks. The submissions were scored based on the model's accuracy along with the model's size (in megabytes). Smaller models got higher scores. In addition, the minimum accuracy required to win was 95%.