Fine-Tuning Object Detection with Anchor Boxes
Finding the Sweet Spot: Anchor Boxes and Object Detection Object detection, the art of identifying and localizing objects within an image, is a cornerstone of computer vision. While deep learning has revolutionized this field, one crucial component often gets overlooked: anchor boxes. Think of anchor boxes as pre-defined templates for potential object locations. They act as "guesses" about where objects might reside in the image, helping the detection model focus its efforts. Choosing the right anchor boxes is like picking the right starting point – it can significantly impact the accuracy and efficiency of your object detector. Why Anchor Boxes Matter Without anchor boxes, object detection models would have to search for every possible object location, leading to immense computational...