The human contribution includes gathering a dataset of works by the artist for the machine to learn their style and cleaning up the X-ray image to remove elements from the surface painting. The resulting X-ray images are "very much our interpretation of what's underneath," Cann tells BBC Culture. The pair describe it as a "sloppy process", just an experiment produced in their spare time with no funding. "One of the points we want to make is that, even with a relatively naive approach, this is what can be done," adds Bourached. "I'm hoping that other people will take this nascent field and do better things with it."
