Bounding Box Regression

Bounding box regression allows object detection systems to output not only class labels but also spatial localization. The model predicts the region occupied by an object as a rectangle. This is a core component in surveillance, retail shelf analytics, autonomous driving, and medical marking applications. Accurate box prediction is one of the main determinants of practical detection quality.