Why do some websites need you to identify trucks to prove you’re human when machine learning can easily allow computers to do so?
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It’s not as easy as you think. You’ll notice that also the pictures usually aren’t nice crisp clear ones, or even whole pictures (instead using just a part of the subject), etc. On top of that, the whole time you’re doing your inputs it is running heuristics on the way the selections are made to determine when it is a machine doing it.
It isn’t really having you identify pictures. What it is doing is monitoring your mouse movements to see if there is enough noise in the movement to indicate you are human.
The identifying image is just to get you to move your mouse around. Added benefit of confirming the image recognition the computer spat out.
1. They’re specifically picking images computers are having a hard time with.
2. They’re using you as free labor to train their AI to be better. You already passed the human check when you clicked the checkbox.
3. They’re showing the same images to many people, so if you don’t match the vast majority of answers, you don’t pass.
How do you think machine learning gets the data it needs to work? The humans tagging where the trucks are generates data to feed into the machine learning models. It’s basically free labour for google.
Before these tests existed, it was very hard for a computer to solve. As people help the machines learn, Google can make the tests harder.
Machine learning can’t do it without feedback telling it whether its prediction was correct.
And that’s what you’re providing.
Google can take a bunch of images from streets around the world, run their own machine learning software on it to try to guess which ones are trucks, and then they ask you to pick out the ones with trucks on them.
And hey, they’ve gotten you to provide error correction for their machine learning *for free*! Isn’t that great? If their software guessed wrong, they’ll see you point out “that one is not a truck”, and they can feed that back to their software to make better guesses next time.
Meanwhile, they can monitor your mouse movement and response time to see if you’re reacting like a human.
Yes they’re monitoring mouse movements and what not to make sure you’re human. But where do you think those machine learning algorithms learn how to identify trucks? They have to have a set of training data with pictures correctly flagged as trucks and not trucks. You’re helping create those training data sets by identifying trucks in blurry or otherwise low quality photos
Has anyone seen the street signs that are from your local area show up???
How do you think machines learn what is and isn’t a truck? First, they need inputs to learn from, and humans helping define what is and is not a truck help them build the model to learn from. But the photo identification is more of a byproduct that uses mouse movement and other factors to detect bot or human.
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There are 2 types of “are you human” checks. One that tracks your mouse movements while the window is open and you click the pictures, and analyses this. Yes you could probably program a bot to replicate this, if you knew how they define a human.
The other, where you click a square, does check the mouse movements also, but they also take a look of the browser itself. It uses information the browser can give it, what sites you been, how long for and things like cookies.
If you have ever done few google searches a row trying to find something specific, you might get one of these form google to ask that you are a human.
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