Anchor Density's Grip: Speeding Up Object Detection Training
Finding the Sweet Spot: How Anchor Box Density Affects Object Detection Training Object detection, the technology that allows computers to identify and locate objects within images or videos, is a fundamental building block of many modern AI applications. One crucial component of this process is anchor boxes – pre-defined bounding boxes used as templates for potential object locations. But here's the catch: anchor box density – the number of these boxes per image region – can significantly impact your object detection model's training performance, particularly its convergence speed. Too few anchors, and your model might miss crucial objects; too many, and it could struggle to learn effectively. So, how do you strike the right balance? Understanding Anchor Boxes and Their...