Adaptive Anchors: Matching Scale to Objects in Detection
Scaling Anchor Boxes: A Key to Success in Object Detection Object detection, the crucial task of identifying and localizing objects within an image or video, is a cornerstone of computer vision. Deep learning has revolutionized this field, with models like YOLO, Faster R-CNN, and SSD achieving impressive accuracy. But behind these powerful algorithms lies a less glamorous but equally important component: anchor boxes. Anchor boxes are pre-defined bounding boxes of various sizes and aspect ratios that serve as templates for predicting the location and size of objects in an image. Think of them as "guesstimates" about potential object locations. The model learns to adjust these anchor boxes, refining their position and size to accurately capture the actual object boundaries. The...