Okay kiddo, so imagine you have a bunch of pictures that show different things like cats, dogs, flowers, and trees. Sometimes there might be something in the picture that looks different from everything else, like a bright red apple in a picture of green leaves. That's called an anomaly, because it stands out from the rest.
Now, imagine you want to find all the anomalies in all the pictures, but some of them are really big and some of them are really small. You need to be able to look at the pictures at different scales, so you can find the big and small anomalies.
To do that, you can use something called anomaly detection at multiple scales. That means looking at the pictures in different ways, depending on how big or small the anomalies might be.
For example, to find a big anomaly like a giant elephant in a picture of tiny bugs, you would zoom out and look at the picture from far away. This lets you see the whole picture and quickly notice something that doesn't belong.
But to find a small anomaly like a hidden spider in a picture of a tree, you would need to zoom in and look at the picture more closely. This lets you see the details and find something that might be hidden.
By looking at pictures at different scales, you can find anomalies of all sizes and make sure that nothing stands out where it shouldn't.pretty cool, right?