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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The key here is that Machine Learning CAN’T easily predict which images are trucks. That is why you’re labeling the blurry image FOR the machine.
So say, the ML model v1 already learned from 100 images of trucks vs. non trucks to get a prediction accuracy of 70% (for example). To make a better ML model, we take these human labeled truck images (ground truth), add them to the old training dataset, so now the ML model
v2 learns from 1000 images of trucks vs. non trucks to get a prediction accuracy of 90% (for example).
The key here is that the accuracy will never reach 100%, meaning the ML can’t EASILY predict these blurry images. It can get pretty close (say 99%) if you use billions of data points to train the model, hence why they’re asking us to label the blurry images as the entry cost for the website.
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