Project to use a deep learning algorithm that associates a label or category with every pixel in an image (semantic segmentation).
ENet neural network architecture has been used due to its speed and small model size
The Cityscapes Dataset - Contains 20 categories / classes and a different color is assigned to identify each class.
OpenCV's Deep Neural Network module has been used to load the ENet model
