Explain working of bounding box regressor in object detection.
How does a bounding box regressor operate in the context of detecting objects?
Could you elucidate the mechanism of a bounding box regressor used in object detection algorithms?
What's the role of a bounding box regressor in the realm of object detection?
In object detection, how is the bounding box regressor applied?
Can you detail the process by which a bounding box regressor identifies objects?
How would you explain the concept of bounding box regression in object detection?
What steps does a bounding box regressor take to localize objects in images?
Can you outline the working principle of a bounding box regressor for object detection?
How does bounding box regression work when detecting objects within an image?
Can you describe how a bounding box regressor functions within object detection models?