I used Google Lens to identify my weirdest junk drawer items - here's how it did
Briefly

I used Google Lens to identify my weirdest junk drawer items - here's how it did
"We all have our junk drawers. Typically, there's one in the kitchen that holds many tiny pieces of appliances, covers, caps, and accessories. There's often one in the bedroom, which tends to collect the detritus of a decade's pocket debris. Sometimes, there's a drawer or a shelf in the workshop that also serves as a collection location. These are our catch-alls. They're the designated places to drop stuff with no designation."
"Also: 7 ways I use Google Lens every day - and why it's one of my favorite AI apps I had one in my Fab Lab that was getting totally out of control. The Fab Lab is the climate-controlled room in my house where I keep my servers, 3D printers, and the Glowforge laser cutter. That junk drawer contained lots of random tools, but it also contained droppings from nearly 10 years of 3D printers and other non-standard technical gadgets."
Many households keep catch-all junk drawers containing small appliance pieces, caps, covers, and years of pocket detritus. A Fab Lab storage area held random tools and nearly ten years of 3D printer leftovers and non-standard technical gadgets. After sorting, five unidentified items remained, one marked Anycubic, indicating a 3D printer component. Google Lens serves as a photo-based search engine that can analyze camera images to surface identification results. Using Google Lens on an iPhone (and similarly on modern Android devices) allowed practical testing of object recognition. Results showed accurate matches for obscure 3D printer parts, while scale and contextual cues still caused confusion.
Read at ZDNET
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