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So perhaps a more exciting problem is "cat, dog or nither"? As you described it, it really only makes sense to solve this problem by solving only for cats, and

So perhaps a more exciting problem is "cat, dog or nither"? As you described it, it really only makes sense to solve this problem by solving only for cats, and then assuming all other items are dogs. Edit: to clarify, is it safe to say that because cats look mostly alike, they would be easier to recognize consistently? or at least a good place to start?

segmondy 13y ago
I think a more exciting problem is an animal recognition and classifer system. Dogs, cats, horses, It will recognize an animal or not an animal. It will classify all animals. It will for instance recognize pugs and group them together, it might not group them with dobermans, but it should group all dobermans together.
VladRussian2 13y ago
>cats look mostly alike only to people i guess. Reminds me about experiment with chimpanzees having problem to recognize faces (face recognition is a sign of intelligence according to the human thinking about intelligence) ... well, until experimenters stopped showing human faces to the chimpanzees and started to show chimpanzees faces :) It would be interesting to see whether well-trained AI would "think" that "cats look mostly alike" compare to say dogs as it is only artifact of humans perception and of how our perception propagates into the software what we create.
- objclxt 13y ago
  Cats look mostly alike in comparison to dogs. Although each feline has a unique face, the degree of variance is considerably higher in dogs. This is mainly due to breeding. Dogs can vary between 8-80 lbs, depending upon breed - some will fit in handbags, others will barely fit into a car. Cats, on the other hand, have significantly less variation (between 8-25 lbs[1]). Further complicating the problem is that we have bred some dogs specifically for facial features and shapes. An English Bulldog, for example, has a drastically different face than a Labrador. However, the vast majority of cat breeds retain the same facial features and shape. Those that do vary (e.g, Siamese cats) differ by small amounts in comparison to dog breeds. This is why building a "dog or cat" detector is reasonably straightforward (if it's not a cat, it must be a dog), but building a "dog, cat, or other" detector is far more complex. [1]:http://www.petobesityprevention.com/ideal-weight-ranges/ http://www.petobesityprevention.com/ideal-weight-ranges/
  - VladRussian2 13y ago
    you're talking about features important for human model of cognition. No arguing here - for most of the people, using the features you described (and for AI systems built by humans and using the same features), the cats would look more alike than dogs. >However, the vast majority of cat breeds retain the same facial features and shape. i had cats for many years and with time learned to see the difference, and i'm sure that some people like judges from cat shows would see even more distinction. It is all about model of perception (and we naturally think and talk like our, human, model is the [only] model) and how well it is trained. >Dogs can vary between 8-80 lbs btw, it is at least 2-180 lbs for adult dogs :)

segmondy 13y ago

I think a more exciting problem is an animal recognition and classifer system. Dogs, cats, horses, It will recognize an animal or not an animal. It will classify all animals. It will for instance recognize pugs and group them together, it might not group them with dobermans, but it should group all dobermans together.

VladRussian2 13y ago

>cats look mostly alike only to people i guess. Reminds me about experiment with chimpanzees having problem to recognize faces (face recognition is a sign of intelligence according to the human thinking about intelligence) ... well, until experimenters stopped showing human faces to the chimpanzees and started to show chimpanzees faces :) It would be interesting to see whether well-trained AI would "think" that "cats look mostly alike" compare to say dogs as it is only artifact of humans perception and of how our perception propagates into the software what we create.

objclxt 13y ago
Cats look mostly alike in comparison to dogs. Although each feline has a unique face, the degree of variance is considerably higher in dogs. This is mainly due to breeding. Dogs can vary between 8-80 lbs, depending upon breed - some will fit in handbags, others will barely fit into a car. Cats, on the other hand, have significantly less variation (between 8-25 lbs[1]). Further complicating the problem is that we have bred some dogs specifically for facial features and shapes. An English Bulldog, for example, has a drastically different face than a Labrador. However, the vast majority of cat breeds retain the same facial features and shape. Those that do vary (e.g, Siamese cats) differ by small amounts in comparison to dog breeds. This is why building a "dog or cat" detector is reasonably straightforward (if it's not a cat, it must be a dog), but building a "dog, cat, or other" detector is far more complex. [1]:http://www.petobesityprevention.com/ideal-weight-ranges/ http://www.petobesityprevention.com/ideal-weight-ranges/
- VladRussian2 13y ago
  you're talking about features important for human model of cognition. No arguing here - for most of the people, using the features you described (and for AI systems built by humans and using the same features), the cats would look more alike than dogs. >However, the vast majority of cat breeds retain the same facial features and shape. i had cats for many years and with time learned to see the difference, and i'm sure that some people like judges from cat shows would see even more distinction. It is all about model of perception (and we naturally think and talk like our, human, model is the [only] model) and how well it is trained. >Dogs can vary between 8-80 lbs btw, it is at least 2-180 lbs for adult dogs :)