If you don't evaluate everything your camera sees, you basically just decrease its FOV. Sure, that might net you less errors for objects that are most relevant

If you don't evaluate everything your camera sees, you basically just decrease its FOV. Sure, that might net you less errors for objects that are most relevant most of the time. But it is the unexpected we need to train computer vision for to compete with humans. We can have rules for things like billboards, sure, but those will never be completely implemented everywhere. The software just needs to be improved to identify something as billboard.