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No, none of this is how ML models work either, unless you're leaving humans in those shirts lying around town. The model would not be trained against "just shi

No, none of this is how ML models work either, unless you're leaving humans in those shirts lying around town. The model would not be trained against "just shirt" == "human". It would just be more samples from the surveillance cameras of actual humans walking around being labeled properly. (The huge assumption here is that the shirt actually worked in the first place, which would only happen against a specific model, and the article doesn't provide any useful insights into anything.)

chickenpotpie 4y ago
That's not necessarily true without knowing what model they're using though. If they're doing dimensionality reduction, the model could learn that if the shirt is present, than the human part of the image really isn't important because the presence of the shirt is a 100% accurate indication for people.
- coder543 4y ago
  Person detection models draw an outline around each person in frame. What you describe would completely break that, regardless of the model. The model has to keep more of the context or else the bounding rectangles would be all over the place.
  - chickenpotpie 4y ago
    The shirt gives a good idea of proportion and it could figure out the size of the rectangle pretty accurately from that
    - coder543 4y ago
      Not really. If you want to link to some useful examples of dimensionally reduced person detection models that exhibit this behavior, then by all means, but none of this is how any current models I've seen work. It also wouldn't make sense to deploy such a model if it were so easily confused by shirts lying around. That model would be pretty terrible by any standard. If they're using terrible technology, you probably don't need a special shirt anyways. Teaching a model to notice people walking through the frame regardless of what shirt they're wearing is simply not "a cat and mouse game", assuming they're not intentionally using a terrible model or a terrible dataset.

chickenpotpie 4y ago

That's not necessarily true without knowing what model they're using though. If they're doing dimensionality reduction, the model could learn that if the shirt is present, than the human part of the image really isn't important because the presence of the shirt is a 100% accurate indication for people.

coder543 4y ago
Person detection models draw an outline around each person in frame. What you describe would completely break that, regardless of the model. The model has to keep more of the context or else the bounding rectangles would be all over the place.
- chickenpotpie 4y ago
  The shirt gives a good idea of proportion and it could figure out the size of the rectangle pretty accurately from that
  - coder543 4y ago
    Not really. If you want to link to some useful examples of dimensionally reduced person detection models that exhibit this behavior, then by all means, but none of this is how any current models I've seen work. It also wouldn't make sense to deploy such a model if it were so easily confused by shirts lying around. That model would be pretty terrible by any standard. If they're using terrible technology, you probably don't need a special shirt anyways. Teaching a model to notice people walking through the frame regardless of what shirt they're wearing is simply not "a cat and mouse game", assuming they're not intentionally using a terrible model or a terrible dataset.