sometimes so there is a bit of a catch I I don't care about state of the art numbers now let's say you have a table like this and you have a computer vision model and one of the models is like on the C for 10 data set now if your baseline model has like a ninety one ninety two percent accuracy on C for ten when I know the state of the art is 96 I don't care right I know like I've done C for ten I know with like I don't know five six layer CNN you can reach these 91 92 93 % accuracy and to get to the 96 97 you would actually be like in the