he's saying that like the fact that the fact that when we do a random augmentation the label should still be the same is like it's kind of like it's kind of alright let's see how this plays out so we start off with when we got one image in the labeled set so that's our label set this is the set of images on which the set of unlabeled images on which the model is confident enough above a certain threshold that it can say what they are to get the pseudo label and these are the pairs these are the training pairs that we're gonna that