Intuition for generalizing to detect "big" and "small" objects?

Also note that I think the various evolving versions of YOLO are considered the SOTA for object detection these days. Nobody does “sliding windows” anymore for serious object detection work. YOLO is pretty deep waters, of course, but there are a number of great threads on the forum from fellow student ai_curious that explain various aspects of how it works and how to train a YOLO model. Here’s one that discusses the concept of Anchor Boxes, which are different than Bounding Boxes. There are links in that thread to other YOLO threads and you can use the forum search engine to find more.