On April 29 local time, Google announced the launch of a "Closet Planner" feature based on generative AI in Google Photos. This feature uses deep learning technology to automatically identify, extract, and categorize clothing items in users' photo libraries, building a digital personal closet. This is another significant application of AI in the field of fashion interaction following virtual try-on technology, aiming to improve users' outfit decision-making efficiency by systematically organizing existing photo assets.

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At the core function level, this AI folder supports automatic filtering by categories such as jewelry, tops, and bottoms, helping users rediscover their existing clothing. At the same time, users can mix and match different items to create virtual outfits and save them to digital mood boards for specific occasions (such as weddings, travel, and work). Notably, this feature integrates advanced virtual try-on technology, allowing users to preview the actual visual effect of an item on their own appearance by clicking "Try On," thus completing the cycle from "photo recall" to "pre-wear prediction."

According to reports, this feature will be launched first on the Android platform this summer, followed by the iOS platform. Industry observers believe that Google's move is not only an extension of image recognition technology but also a typical example of using generative AI to optimize consumer-oriented scenarios. By transforming the album from a storage tool into a smart entity with fashion shopping guidance and styling suggestions, Google is further solidifying its core position in the mobile personal data ecosystem through AI.