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I will accept your opinion as I have never implemented a complete ML based solution. All of my opinion is based on promises and demonstrations for ML products s

I will accept your opinion as I have never implemented a complete ML based solution. All of my opinion is based on promises and demonstrations for ML products such as Cognex VIDI. If those systems have capabilities like you describe, they have not been well presented during their sales pitches.

version_five 4y ago
I've observed that the ML (or otherwise) model quality is not really the bottleneck in most computer vision systems so it gets less attention. The state of the art is way beyond what you would see in an implemented solution (like cognex), but some combination of market immaturity and that not being the biggest problem means there's not much industry demand for really good models
krisoft 4y ago
> All of my opinion is based on promises and demonstrations for ML products such as Cognex VIDI. I see! Thank you for the explanation. That now makes sense. Basically you were talking about what is available on the market as a product, and I was talking about what the state of the art is in machine learning. Now obviously if you actually want to put a factory line together you care about the available products, not what is possible in theory. It is kind of like asking someone if it is possible to travel to the moon. If you are asking a physicist they will do some calculations with the rocket equation and will tell you that it is perfectly possible. If you ask the same question from a travel agent they will tell you it is not possible because they can’t sell you a moon holiday right there and then. They are both right, just in different contexts. > If those systems have capabilities like you describe, they have not been well presented during their sales pitches. All I can tell to those companies is that they should “git gud”. :) Thank you for your explanation about the context you were talking about!

version_five 4y ago

I've observed that the ML (or otherwise) model quality is not really the bottleneck in most computer vision systems so it gets less attention. The state of the art is way beyond what you would see in an implemented solution (like cognex), but some combination of market immaturity and that not being the biggest problem means there's not much industry demand for really good models

krisoft 4y ago

> All of my opinion is based on promises and demonstrations for ML products such as Cognex VIDI. I see! Thank you for the explanation. That now makes sense. Basically you were talking about what is available on the market as a product, and I was talking about what the state of the art is in machine learning. Now obviously if you actually want to put a factory line together you care about the available products, not what is possible in theory. It is kind of like asking someone if it is possible to travel to the moon. If you are asking a physicist they will do some calculations with the rocket equation and will tell you that it is perfectly possible. If you ask the same question from a travel agent they will tell you it is not possible because they can’t sell you a moon holiday right there and then. They are both right, just in different contexts. > If those systems have capabilities like you describe, they have not been well presented during their sales pitches. All I can tell to those companies is that they should “git gud”. :) Thank you for your explanation about the context you were talking about!