of the labels which is like 10 images per class and imagenet and you can also do a transfer learning which is you you're given a completely different data set now you take this rest net throw it on that data set and perform new tasks so which could be something like pascal where you just take that rest that you've got and CPC and you throw it on object detection just like regular computer vision in benchmarking so so that's basically the goal and we will see how all these things work out if you do a lot of engineering so CPC we