11–20 of 24 posts
If anyone reimplements this for men's fashion let me know! I think this tool is great for anyone who isn't well educated in terms of fashion and I guess it is safe to say that this applies to men more often than to women.
So it just automatically uses location data fed by the user and doesn’t prompt? What are the terms of service on data collection?
Not your physical nearest neighbors, rather, product neighbors in similarity space.
Our feels like there's a bit of a gamification in just clicking one more time, like "I like this, but if I click one more, maybe I'll like something in the next set even more." And repeat forever - like a great (window) shopping tool that doesn't result in much buying. But I'm not a shopper/consumer, so maybe my impression is not representative.
I love this kind of “reaction decision” process. I have a hard time styling things until I see them and importantly when I see examples of what I don’t like. Also this is what I imagine Stitch Fix uses for their stylists. I wish there was a polished stylist service that didn’t also have me buying clothes from them. I don’t need a $60 white T shirt or a $120 basic jean jacket but I do want to have styles that look goo…
I think they died over legal issues with rights to product images.
But in the vibewall demo, I wonder if the embedding is capturing the right similarity concept for this application. E.g. in the results most similar to this men's polo, I see a bunch of henleys, a women's quarter-zip pull-over, a women's full-zip fleece, a men's tank, a women's top with a plunging neckline, even a baby wrap! These are appropriate to be worn by different people in different social contexts and in different seasons. The main visual similarity seems to be that they include human upper bodies on white backgrounds? https://vibewall.shop/?id=c43bc222-e68b-11ef-8208-0242ac1100...
It's interesting to see how some ideas keep looping around. When I see this I'm reminded of a startup Modista from ~2008 which did visual-similarity for browsing fashion products. Here's a writeup from a point when they did only shoes, but I know they expanded beyond shoes at somepoint: https://thenoisychannel.com/2008/11/05/modista-similarity-br... I think they died over legal issues with rights to product images. B…
I'd expect that this is a problem that could be solved by using larger off the shelf models for image similarity. For this project, I thought it would be cooler to train the model end-to-end myself, but doing so has negative consequences for sure.
I’d think the model should focus on the patterns and cut, not which way they are laying for the marketing photo.
If you chose a photo of socks pointing left, then the nearest neighbors are socks also pointing left. I’d think the model should focus on the patterns and cut, not which way they are laying for the marketing photo.
Picture leads to books leads to toys leads to ... a television that emits heat like a fireplace. I actually kind of want a television that emits heat / cold in response to what's on television (the product was just a tv fireplace that made heat).
Notably, like others have pointed out, and the author already addressed, the model definitely starts giving some rather "strange" results when you travel far away from the central training theme. Just click on a kid's hoverboard, and it gives me vacuum cleaners and leaf blowers. Dinosaur toy, and not a dinosaur in the results.
They're still interesting, and the main idea of having a "variety" slider with nearness of similarity was a cool feature for image browsing like most image searches. Be kind of nice if some browser image searches would let you have a "variety" or "nearness" slider when you're just looking at similar images.