Snap inc. (20250078127). RECOMMENDING FASHION ITEM FIT STYLE USING LANDMARKS
RECOMMENDING FASHION ITEM FIT STYLE USING LANDMARKS
Organization Name
Inventor(s)
Avihay Assouline of Tel Aiv (IL)
Itamar Berger of Hod Hasharon (IL)
RECOMMENDING FASHION ITEM FIT STYLE USING LANDMARKS
This abstract first appeared for US patent application 20250078127 titled 'RECOMMENDING FASHION ITEM FIT STYLE USING LANDMARKS
Original Abstract Submitted
methods and systems are disclosed for using machine learning models to recommend fashion item fit styles based on body surface landmarks. the methods and systems access one or more images depicting a person wearing one or more fashion items and process, using one or more machine learning models, the one or more images to estimate a data set comprising a set of body landmarks of the person, a set of garment classifications associated with the one or more fashion items, and a set of garment segmentations for the one or more fashion items. the methods and systems identify one or more fit styles associated with the person based on the estimated data set and cause presentation of one or more real-world fashion items matching the identified one or more fit styles.