Colorization <https://en.wikipedia.org/wiki/Film_colorization#Digital_colorization> refers to the process of adding color to black-and-white photographs. This work was historically done by hand. These days, colorization is usually done digitally, with the support of specialized tooling. But it is still quite labor-intensive. A forthcoming paper <http://hi.cs.waseda.ac.jp/~iizuka/projects/colorization/en/> from researchers at Waseda University of Japan have developed a method for automatic image colorization using deep learning neural network. The results are both impressive and easy to reproduce, as the authors have published their code <https://github.com/satoshiiizuka/siggraph2016_colorization> to GitHub with a permissive license. Someone has already taken this code and packaged it as a simple webapp, available at http://colorizr.io/ (NSFW). The webapp lets you upload black-and-white pictures and colorizes them for you. (The site is currently not safe for work because it displays a gallery of recent uploads. We know how that goes.) In this thread, let's discuss how this technology could be integrated with the projects. Should we have a bot that can perform colorization on demand, the way Rotatebot <https://commons.wikimedia.org/wiki/User:Rotatebot> can rotate images?