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ai;dr MLP trained on 8 questions achieves ~0.3cm height error, ~0.3kg weight error, and ~3-4cm for bust/waist/hips measurements. https://www.mdpi.com/1424-8220/22/5/1885 + some hacking => "we want to productize this"
What does it mean to have 0.3cm height error, when height is one of the 8 questions?
But yeah, it's reasonable to obfuscate that fact form the user
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There should still be privacy concerns, especially with their demo which sends a POST on "Generate". The author suggests the model is 85kB of weights, which could run perfectly well in browser. > But with this software - the tolerances are looser, so the clothing becomes more manufacturable. Does it? How do looser measurements help? I assume manufacturer would always take the upper bound of dimensions. Suppose model…
Not just oversized - undersized also happens. Most cloth is still cut by hand using large electric saws and it's just not that accurate. (caution: loud music) https://www.youtube.com/shorts/jvQHvz4GlPQ Notice that the panels are marked out with chalk and if the operator doesn't stay square to the table, or isn't diligent in marking up the panels, they won't be consistent with the brand's standard sizing. I mean - ide…
Earlier quoted context omitted.
There should still be privacy concerns, especially with their demo which sends a POST on "Generate". The author suggests the model is 85kB of weights, which could run perfectly well in browser. > But with this software - the tolerances are looser, so the clothing becomes more manufacturable. Does it? How do looser measurements help? I assume manufacturer would always take the upper bound of dimensions. Suppose model…
Not just oversized - undersized also happens. Most cloth is still cut by hand using large electric saws and it's just not that accurate. (caution: loud music) https://www.youtube.com/shorts/jvQHvz4GlPQ Notice that the panels are marked out with chalk and if the operator doesn't stay square to the table, or isn't diligent in marking up the panels, they won't be consistent with the brand's standard sizing. I mean - ide…
So on business side despite the clear benefits, for now we have hard time finding interested brands. Probably part of it is that we're very technical, technology-focused guys. But we're evaluating both paths: whether the mass-made item will fit, and tailoring for a specific person. Will see how it works out.
On the scanner side. The software approach beyond the less friction also have a benefit of predicting the future shape: "pregnant me in 2 months" or "me with 3kg less". Or simpler: my measurements changed since last month and I don't need to rescan. That's harder with hardware.
It has that kind of feel as if it's made in codex.
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Like ... who/why would downvote this? This is definitely manipulated.
My guess, the article itself is clearly AI authored and there are a fair number of us who don't particularly like the writing style. Further, it implies something about the original human's own valuation of this work - if they decided to let the machine handle it, why should I spend my own time reading what they didn't bother to write?
How big are the pockets and is it sex determined?
This is the best UI/UX article I've read this year. If the authors are around, I extend them my dearest congratulations ^^.
Twenty or so years ago, Levis had a program called Personal Pair (they paired with a firm/product called Intellifit) where you would step into a millimeter wave 3D scanner and get your precise measurements. https://www.youtube.com/watch?v=G1IceHjADbQ Which you could use to get a custom pair of jeans made just for you. This failed partly because the target market turned out to be middle-aged adults (that buy fewer pai…
There should still be privacy concerns, especially with their demo which sends a POST on "Generate". The author suggests the model is 85kB of weights, which could run perfectly well in browser. > But with this software - the tolerances are looser, so the clothing becomes more manufacturable. Does it? How do looser measurements help? I assume manufacturer would always take the upper bound of dimensions. Suppose model…
Inference can be totally done client-side. Later measurement tuning would be much harder.
Earlier quoted context omitted.
Not just oversized - undersized also happens. Most cloth is still cut by hand using large electric saws and it's just not that accurate. (caution: loud music) https://www.youtube.com/shorts/jvQHvz4GlPQ Notice that the panels are marked out with chalk and if the operator doesn't stay square to the table, or isn't diligent in marking up the panels, they won't be consistent with the brand's standard sizing. I mean - ide…
Thanks, this matches what we're seeing. Trying to establish relationship with some brands, this is the problem we hit. The clothing batches can be very different from each other - cut-by-hand problem. So they don't have sewing patterns to drape and even if they have the final clothes can be different. Plus they don't want to share the patterns/technical details. So on business side despite the clear benefits, for now…
It'll be a bespoke item at premium prices, no question. How big is the market for this? I don't know, but my feeling is that it's older women.
How big are the pockets and is it sex determined?
Yes, sex is one of the inputs. But regional fat distribution isn't something we model or evaluate yet. But going to work on it.
One time, I found women's jeans with tiny pockets but the bottom seam could be pulled undone to reveal a man size pocket of cloth below. That was classy.