It’s hard enough for people to categorize or discuss art, but it’s even more difficult for artificial intelligence. Several research groups have recently tried to apply machine learning to large databases of artworks to sort and describe them in a meaningful way.
First, researchers from Zhejiang University of Technology in Hangzhou, China, compared different neural networks to find out how well they perform at art classification. They used images from WikiArt and other digital collections to train the neural networks to learn what images of a certain art style look like. Then they asked the different neural network models to identify the art style of other images.
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