Machine Learning

StreetStyle's Two-Part Engine: How One Framework Tracks Known Fashion Trends and Discovers New Ones

The StreetStyle framework employs a two-part engine to analyze fashion trends: supervised learning tracks known attributes, while unsupervised clustering discovers novel styles from millions of social media photos. This computational approach offers a comprehensive view of global and localized fashion movements.