features you get from self supervised learning are gonna transfer to something other than classification like like something like object detection on it on a data set where you don't have a lot of labels like pascal and for a long time people believe that you could never be the supervised baseline so if you look at the supervised baseline mean average position with the rest at 152 backbone you get seventy four point seven pascal walk just two thousand the data set with 2007 version and you can look at all these south supervised methods in the