Captcha verification has always been to train neural networks. That is why it started with “what letters are here?” And has progressed to the images we see today. I even got one where the images seemed “deep fried” to try to train thn nerual nets on worse input.
As others have said, yes the server already knows what it means, or which images are correct. However it is based on confidence, that that’s how neural networks work. It’s a statistical model to determine the right answer. So even though its already confident that “pictures 1, 3, and 8 have a bicycle”, when you say that those images have bikes, you are reinforcing and training it further.
There’s usually a couple of pictures that the captcha knows what it is, and some that it’s uncertain about. So you have both verification ones to check you’re actually doing it right and some used for training.
It was a lot more obvious with the book/text recaptcha where one word was a sully stylised one, and the other was scan from a book. You could usually put in whatever you wanted on the book text.
Text recognition? Heard about a google company called “Waymo”? Ever thought about what you do in these silly captchas and why they let you fail for no reason?
As a society we should just decide to click on busses when it asks for traffic lights, click on hydrants when it asks for busses and click on traffic lights when it asks for hydrants. That way the system will forever be fucked up.
this gets trained on AI??? i thought they used it for like teaching people how to drive.
Captcha verification has always been to train neural networks. That is why it started with “what letters are here?” And has progressed to the images we see today. I even got one where the images seemed “deep fried” to try to train thn nerual nets on worse input.
Sorry, but captcha image is obviously generated AND google knows what text is on it, because it won’t let you in if your answer is wrong.
Nice try, but no. Google doesn’t need your input to train NN for text recognition.
As others have said, yes the server already knows what it means, or which images are correct. However it is based on confidence, that that’s how neural networks work. It’s a statistical model to determine the right answer. So even though its already confident that “pictures 1, 3, and 8 have a bicycle”, when you say that those images have bikes, you are reinforcing and training it further.
https://www.geeksforgeeks.org/machine-learning/what-is-reinforcement-learning/
There’s usually a couple of pictures that the captcha knows what it is, and some that it’s uncertain about. So you have both verification ones to check you’re actually doing it right and some used for training.
It was a lot more obvious with the book/text recaptcha where one word was a sully stylised one, and the other was scan from a book. You could usually put in whatever you wanted on the book text.
I agree with the point it can be used for training on images, or text scanned from the book.
I doubt it is useful on generated image of text, and I can only recall those on text based captchas, can’t remember any scanned text.
Anyways, smart move from Google.
Text recognition? Heard about a google company called “Waymo”? Ever thought about what you do in these silly captchas and why they let you fail for no reason?
Yeah, and we’re not in a Matrix. Ugh.
best explination here
It’s to teach cars how to drive
oh
As a society we should just decide to click on busses when it asks for traffic lights, click on hydrants when it asks for busses and click on traffic lights when it asks for hydrants. That way the system will forever be fucked up.
Can I upload photos of billionaires when it asks me to identify clear and safe roadways?