I was wondering if its possible to develop and train a neural network that generates training data for another network (or possibly itself). I came to this thought wondering the difficulty in creating a labeled dataset for an object detection task - since there is alot to label in case of a multi-class model that maybe needs to be able to detect multiple objects.
So is it possible to automate the process of labeling a dataset for object detection by using an already trained network that spits out the bounding boxes and classes from an input image? Are GANs capable of doing something like this? I couldn't find anything of the sort on the internet.