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Why is AI-generated synthetic data all the craze today? On this article, I’ll clarify my favourite manner: with cats!
Let’s say I need to practice a cat-not-cat classifier from scratch, however I solely have one picture to work with:
(Every thing that follows is an analogy for what folks do with tabular knowledge and textual content knowledge, so it applies past picture knowledge.)
Ideally, I’m going to wish a dataset consisting of hundreds of cat and not-cat photographs. If I’ve a digital camera and plentiful entry to cats, I can take a bunch of photographs just like the one I have already got, making certain that I get precisely the dataset I designed:
However what if I don’t have a digital camera and I reside catless on the moon? I might get the pictures I want from a vendor, although I should watch out since inherited data is extra harmful than major knowledge.
However what if there’s no vendor who’ll promote me some cat photographs? (Sure, operating out of cat photographs on the web is a scenario that’s extra sci-fi than dwelling on the moon, however bear with me.)
Properly, if I can’t acquire them and I can’t purchase them, then I’ll should make them myself. Behold, my creation:
No good? Yeah, drawing was by no means my robust swimsuit. One other technique to make pretend knowledge is to repeat present datapoints, besides this isn’t going to be a lot use for offering tutorial selection.
It’ll be like instructing a human pupil by giving them the identical instance over and over, so all they be taught is that one factor. If my dataset is 30,000 copies of this Huxley picture…
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