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Notice from landlord
(lemmy.wtf)
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this post was submitted on 25 Aug 2024
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Yes, that's what I've been trying to explain. And no, JWO was not built to be accurate, it was built to be convenient. That's a very different incentive that will lead to skipping alternatives that are less convenient but more accurate-- like the checkout kiosks I've been talking about. I'm not defending JWO and it's obviously both a harder problem and one that's not managed well, focusing on optics over accuracy.
That's not necessary, they're already placed in a nearly ideal environment by the person setting up the berry bowl. Notice how the "bowl" is a white square with each fruit placed in a way where they're separated by the whitespace. You wouldn't even need to train a model on the whole bowl, you could just do an image region detection --> object recognition pipeline. The hardest part about the berry bowl would by far be determining the person taking the fruit! (In fact, I wouldn't be surprised if that was manually reviewed, with that few instances to look at.)
jwo is a different problem than the separate checkout kiosk you're describing
jwo is the same problem as is in the image
it was built to be accurate within the boundary of "no checkout step"
at this point it feels like you're deliberately misinterpreting me
unless somebody moves or jostles them while taking some fruit
you're essentially making the exact same naive assumptions about the operating environment that led to jwo's failures
if "just track which one disappeared" was a valid solution to the problem, jwo wouldn't have failed
facial recognition is a thoroughly solved problem, at least in terms of the accuracy that we're aiming for here
I'm not deliberately misinterpreting you, but I think I found where the disconnect is:
I don't think this is the case. The berry box is somewhere between JWO and checkout kiosks, in that the density of items is small, and the background is clear, but there are multiple items at the same time. I'm seeing the items as discrete enough that it's more similar to checkout kiosks, but you're seeing it as more similar to JWO (now I understand why you keep bringing JWO up).
Was it? I mean in some sense yes, but I feel like it was primarily built for Amazon's image, to give the appearance of it working well. That's why they're secretly hiring people and claiming it's AI, after all. If they weren't doing it for their image they wouldn't even need to pretend that it was AI.
I suppose I am, but it appears that the person in the image is also making that same assumption (to the extent that the image is real-- it is satire after all). Having multiple items in the box would decrease the accuracy not only because of items touching, but also because the person could cover the box while jostling all the items' positions. You'd have to count every item before and after their interaction, and they could take 0, 1, or more items. It's definitely not as simple as I was thinking, you're right. Still easier than JWO imo but not as easy as the kiosks.
It's not clear to me whether it's easy to take fruit from the bowl without showing your face. It's certainly possible, but it depends on where the people are approaching from whether it's likely.