Suppose I have a standard image classification problem (i.e. CNN is shown a single image and predicts a single classification for it). If I were to use bounding boxes to surround the target image (i.e. convert this into an object detection problem), would this increase classification accuracy purely through the use of the bounding box?
I'm curious if the neural network can be "assisted" by us when we show it bounding boxes as opposed to just showing it the entire image and letting it figure it all out by itself.