Non Maximum Suppression
Non Maximum Suppression
**Non Maximum Suppression** is a computer vision method that selects a single entity out of many overlapping entities (for example bounding boxes in object detection). The criteria is usually discarding entities that are below a given probability bound. With remaining entities we repeatedly pick the entity with the highest probability, output that as the prediction, and discard any remaining box where a $\text{IoU} \geq 0.5$ with the box output in the previous step.

Image Credit: [Martin Kersner](https://github.com/martinkersner/non-maximum-suppression-cpp)