What is Non-Maximum Suppression (NMS) and how does it work internally?

NMS removes duplicate bounding boxes by keeping only the highest-confidence prediction per object.

Object detectors often produce multiple overlapping boxes for the same object. NMS sorts boxes by confidence score, selects the highest scoring box, and removes all boxes with IoU above a threshold. This ensures one detection per object and reduces redundancy.