[strebler]

Interesting, however this just reflects an overfitted model. Fundamentally, this photo is not that different from a fashion influencer's posts.

We're a fashion engine and our system fully detected both of the people and all of their apparel (the person in question's shirt, his pants and it sees the "printout" as a low confidence handbag, as well as his shoes).

Not to say it would be impossible to trick our system, however, this method would not be sufficient given a good object hierarchy. Our system would have to have a triple miss across two methods - would need to miss his pants and his shirt and his body with the localizer, as well as his pants and shirt with the segmenter. And, if we were serious about detecting hiding people, you'd be surprised how gosh darn reliable the shoe detector portion is.

I don't see it being terribly feasible (and definitely not reliably so). Let's just say, it's not even close at all at this point. We miss zero of these things today.

[mirkules]

Same here, full detection. Our customers are the theoretical targets of this method, and I can verify it is not effective.