Scaling Anchors for Optimal Object Detection
Anchors Aweigh! Fine-Tuning Object Detection with Image Statistics Object detection, the ability of a computer to identify and locate specific objects within an image, is a cornerstone of modern AI. From self-driving cars navigating bustling streets to medical imaging diagnosing diseases, its applications are vast and impactful. One crucial component of many object detection models are anchor boxes, pre-defined bounding boxes that act as starting points for identifying actual objects. While anchor boxes are essential, finding the optimal size and aspect ratio for these anchors can be a tricky business. Traditionally, researchers relied on manual selection or pre-defined sets, which might not always align perfectly with the unique characteristics of every dataset. Enter Learning Anchor Scales from Image Statistics, a...