Google Photos deploys AI-driven digital wardrobe tool inspired by 'Clueless'
New feature allows users to filter garments, mix and match outfits, and virtually try on looks, with an Android launch scheduled for later this summer.
Google Photos has announced the introduction of a new artificial intelligence feature designed to automatically scan a user's photo library and construct a digital wardrobe. Drawing direct inspiration from the virtual closet used by the protagonist Cher in the 1995 film *Clueless*, the tool enables individuals to catalogue their clothing and accessories based on existing images. This functionality represents a significant shift from manual entry systems, leveraging machine learning to identify items within a user's personal collection.
The application allows users to filter identified clothing items by specific categories, such as tops, bottoms, and jewellery. Once the wardrobe is populated, the software facilitates the creation of new outfit ideas by mixing and matching these digital assets. Users can save these concepts to digital moodboards tailored for various occasions, including travel, events, and work. Additionally, the platform includes a capability to virtually try on the created outfits, allowing users to preview looks before committing to a choice.
Google intends for this tool to be accessible to a broader audience than the fictional interface depicted in the movie, which highlighted the life of privilege of its main character. The company believes that advances in AI technology will make such comprehensive outfit planning feasible for anyone. While competitors in the fashion technology space, including Acloset, Combyne, and Pureple, have previously attempted to recreate the ease of outfit creation, Google's approach relies on processing real-world photo data rather than fictional interfaces or manual uploads.
The feature is currently in development and is not yet live. Google has confirmed that the rollout will begin on Android devices later this summer. Following the successful deployment on the Android platform, the functionality will be made available to iOS users. Within the application, the digital closet will be located under the "Collections" section, providing a dedicated space for managing and organising wardrobe assets.
Despite the ambitious scope of the project, Google has not provided specific details regarding the technical methodology used to recognise specific clothing items and accessories. The performance of the AI on user-generated photos versus professionally lit, full-body images remains unverified. The company notes that results may vary, suggesting that the quality of the input photos could influence the accuracy of the digital wardrobe construction.
This development marks a notable convergence of entertainment history and practical utility in the consumer technology sector. By repurposing the concept of a virtual closet for everyday organisation, Google aims to demonstrate how generative AI can solve mundane problems. The success of this feature will likely depend on the accuracy of the image recognition and the ability of the AI to improve over time as it processes more data.
