Image Courtesy: Google
Google is rolling out a new AI powered feature called Wardrobe that scans your photo library to build a digital version of your closet. The tool identifies clothing and accessories from past photos, then organizes them into categories to help users plan outfits and manage what they own.
The feature is being added to Google Photos and is expected to launch later this summer. It uses image recognition to detect items like tops, bottoms, and jewelry, creating a visual catalog that users can browse and combine into outfits, as reported by Engadget.
Once scanned, each item appears as a thumbnail inside a structured wardrobe interface. Users can mix and match pieces to create outfit combinations, save them for later, or share them with others. A built in moodboard feature allows for more flexible outfit planning, especially for events or travel.
One of the more notable additions is a virtual try on tool. Borrowing from similar features in online shopping, the system can generate images of the user wearing selected outfits. This gives a rough preview of how different combinations might look without physically trying them on.
The system, however, is limited by what it can see. Items that do not appear in a user’s photo library will not be included. At the same time, clothing that has been sold, donated, or discarded may still show up if it exists in older photos. This creates a static snapshot of a wardrobe based on past images rather than a real time inventory.
Accuracy is another variable. Like most AI driven recognition systems, Wardrobe may misidentify items or incorrectly categorize them, especially in cluttered images or low quality photos. Users may need to manually adjust or ignore some results.
The feature will roll out first to Android users, with iOS support expected later.
