quantifiable notion of how well the method is doing so the method that we just introduced is called cycle again and it's basically unsupervised so you give it a bunch of distressing images and then a bunch of semantic masks and then you hope them that they somehow align each other and what this shows that they actually do pretty well so a peg to peg is a fully supervised model so the last rode means you get you actually get pairs of image and their corresponding label so the last rows should be read as basically an upper