Object Localization with Anchors: A Grid-Based Approach
Unlocking Object Detection with Grid-Based Anchor Boxes: A Deep Dive Object detection is a cornerstone of computer vision, enabling machines to "see" and understand the world around them. From self-driving cars to medical imaging, its applications are vast and constantly expanding. One key component in many successful object detection algorithms is the use of anchor boxes. These predefined bounding boxes act as templates for potential objects within an image. By predicting the offsets and scales of these anchors relative to ground truth objects, models can effectively localize and classify objects with remarkable accuracy. This blog post delves into the world of grid-based anchor box assignment, a popular technique used in object detection frameworks like YOLO (You Only Look Once) and...