training is done on imagenet for those so that you pre train on imagenet without the labels and then you transfer learn or fine tune or or linear probe on these small data sets whereas later we're going to look at image net and they're the pre-training as I understand it is done on image net itself but also a wider collection of a hundred million or so images from the web from the internet okay so as you can see right here this is what happens if you do this linear probing and you can see it works pretty well so you get like