Outfit Maker Mué realizes intelligent closet management through three core technologies: firstly, its AI clothes-reading engine can automatically analyze color, category and brand information in uploaded photos, with an accuracy rate of more than 90%; secondly, the matching system based on machine learning algorithms will refer to the user's tagged style preferences (e.g., minimalist style or business style), and combine with the closet items to carry out multi-dimensional matching calculation; finally, the virtual try-on function uses augmented reality technology to generate 3D wear previews. These features work in tandem to make daily outfit recommendations that are both aesthetically pleasing to the user and tap into the potential of the closet.
This answer comes from the articleOutfit Maker Mué: Digital Wardrobe and AI Matching AssistantThe
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