The Machine Vision Algorithm Beating Art Historians at Their Own Game
Classifying a painting by artist and style is tricky for humans; spotting the links between different artists and styles is harder still. So it should be impossible for machines, right?
Few areas of academic inquiry have escaped the influence of computer science and machine learning. But one of them is the history of art. The challenge of analyzing paintings, recognizing their artists, and identifying their style and content has always been beyond the capability of even the most advanced algorithms.