Background class for Object detection

Adding background images to my dataset has helped drastically in the reduction of false positives. The images I added have annotations, but no bounding box, and thus don’t belong to any particular class.

I’m curious if this is the correct approach, or would it make sense to create an actual background class with bounding boxes?