would call that out of distribution data because it's not like the image net data whereas the street view house numbers that extra data is like really the same exact data that the training set has in terms of this like kind of underlying distribution idea so the idea here is that the meta Studio labels this adaptive adjustment of changing the labels during training is more crucial when the extra unlabeled data is more out of distribution so if you're dealing with a computer vision problem and you're curious that this algorithm is