Virtual Detectives Use Social Media to Study Global Fashion Trends

Monday, August 14, 2017 - 12:32 in Mathematics & Economics

Each day billions of photographs are uploaded to photo-sharing services and social media platforms, and Cornell University computer science researchers are figuring out ways to analyze this visual treasure trove through deep-learning methods. Kavita Bala, professor of computer science; Noah Snavely, associate professor computer science at Cornell Tech; and Kevin Matzen have released their results in a new paper, "StreetStyle: Exploring world-wide clothing styles from millions of photos."

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