Researchers train AI to attribute paintings based on detailed brushstroke analysis

Art historians may have a new tool for settling the attribution of disputed paintings using artificial intelligence (AI) thanks to research by a cross-disciplinary team led by physicists at Case Western Reserve University. The research, shows how machine learning analysis of small sections of topographical scans of paintings—some as tiny as half a millimeter—was able to attribute the works to the correct artist with up to 96% accuracy.

Source: The Art Newspaper – International art news and events

Post a Comment

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Get the latest RightsTech news and analysis delivered directly in your inbox every week
We respect your privacy.