>I'd always assumed that was noise carefully tuned to throw off one machine learning model or another that was being used to beat the captcha
I was thinking it was trying to dirty up the image just like the lenses on cameras get dirty. What happens to the image recognition when there's water spots, dirt, mud, etc on the lens that keeps parts of the image obscured?
what would be the training data value in getting humans to classify images you have clean versions of, after applying simulated noise?
If you have the clean version of the image, you need to get that classified by a human - then you can throw noisy versions of it into the training set for your AI. You don’t need to ask a human, hey, I added noise to a picture of a yield sign. Is it still a picture of a yield sign?
I was thinking it was trying to dirty up the image just like the lenses on cameras get dirty. What happens to the image recognition when there's water spots, dirt, mud, etc on the lens that keeps parts of the image obscured?