In object detection, they usually resize by keeping the ratio the same as the original image, which usually names "letterbox" resize.
My question is:
Why do we need to do that? As I see with some images too long in vertical or horizontal, we will lose a lot of features in those images.
If it is better than normal resize, why people don't apply it in the classification task?