Once again, cvdazzle seems focused on obscuring a human face, not obscuring the existence of a human, and I don't see how it is more effective than a ski mask.

Once again, cvdazzle seems focused on obscuring a human face, not obscuring the existence of a human, and I don't see how it is more effective than a ski mask. A choice quote from your cvdazzle link: > This face is unrecognizable to the Viola-Jones Haar Cascade face detection algorithm. (It does not apply to DCNN face detectors) So... modern face detectors don't even have trouble with cvdazzle. All four of the detectors in this sample correctly identify the cvdazzled subject from the cvdazzle link: https://huggingface.co/spaces/celebrate-ai/face-detection-cnn https://huggingface.co/spaces/celebrate-ai/face-detection-cn... I'll also add a few choice quotes from Wikipedia: > Unlike other forms of camouflage, the intention of dazzle is not to conceal but to make it difficult to estimate a target's range, speed, and heading. > The result was that a profusion of dazzle schemes was tried, and the evidence for their success was, at best, mixed. So, no, dazzle camo does not seem to have a record of being effective against either humans or cameras, so the bar is low to start with, not "pretty high" at all. But, the goal here is also concealment, not obscuring range, speed, or heading, which dazzle camo only had "mixed success" for, and dazzle camo was never designed for concealment at all. In either case, I'm not talking about hiding a ship on the horizon. I'm talking about the effectiveness of this for hiding a human walking in front of a camera. What was the goal here? Dazzle camo seems like it was never proven to be that useful, according to wikipedia, and cvdazzle is obsolete according to its own website and a quick test that anyone can perform. As I said from the beginning, the article OP linked appears to be nothing more than clickbait. That $71 coat is not a general solution to AI surveillance, and training a machine learning model to detect it would not make that model suddenly overwhelmed with false positives.