in mind and by the way there's lots of samples down here what you have to keep in mind is there are a lot of hyper parameters in here there are like this threshold and you know the first of all yeah the number of classes the thresholds the architectures and so on and and all of this has been tuned to get these numbers really high right all of these steps all of the augmentations and so on the chosen data argumentations it has been chosen to get this number as high as possible so you know to interpret this as oh look we can close classify without