The document describes a project called "Colour It" that aims to automatically colorize grayscale images without human assistance. The system trains a computational neural network on over a million colored images to learn statistical dependencies between image semantics and textures and their colored versions. Users can upload grayscale images to be colorized by the system in a fast and realistic way. The goals are to give users the ability to easily colorize images with minimal processing time and output images that are close to the original ground truths. This technique could benefit medical imaging and colorizing old black and white films while training convolutional neural networks.