I might be mistaken, but in the standard use case each target bounding box would represent a different object. I.e. while the class might be the same (e.g. two persons), the objects themselves would not be the same.
In your use case, however, the logo and text would both represent the same object and class.
I just wanted to point out to the case, where the model could predict classA for the logo and classB for the text. What would you do in such a case, i.e. what would the prediction be?