Scaling Success: Anchor Boxes and Object Size
Hitting the Right Target: Optimizing Anchor Box Sizes for Effective Object Detection Object detection, a cornerstone of computer vision, empowers machines to identify and locate objects within images or videos. At the heart of many popular object detection algorithms lies the concept of anchor boxes: pre-defined bounding boxes that serve as initial guesses for potential object locations. While anchor boxes provide a starting point for our detection models, their effectiveness hinges on their size and placement. Choosing the right anchor box sizes is crucial, as it directly influences the accuracy and robustness of your object detector. The Scale Problem: Objects come in diverse sizes, from tiny insects to sprawling buildings. A one-size-fits-all approach to anchor boxes simply won't cut it....