patches you use the mean pool representation at the end and you train a classifier on top and you can create a lot of data for your training tasks because you can sample a lot of different batch grades from a lot of images and see how good the features are so there are a couple of the details in in in getting this right which were extremely crucial and which have been adopted in every follow-up paper almost which is making sure that you jitter both spatially and color wise so firstly you should make sure that to pick the patches don't