Fine-Tuning Object Detection with Anchor Boxes
Tuning the Anchors: Optimizing Object Detection with Anchor Boxes Object detection, a fundamental task in computer vision, empowers machines to identify and locate objects within images or videos. While impressive progress has been made, one critical component often demands careful attention: anchor boxes. These pre-defined bounding boxes serve as starting points for predicting the location and size of actual objects. But choosing the right anchors can be a tricky business. Poorly chosen anchors can lead to inaccurate predictions, hindering the overall performance of your object detection model. This blog post delves into the intricacies of anchor box regression optimization techniques, guiding you towards achieving more robust and accurate object detection. Understanding Anchor Boxes: Imagine searching for specific objects in a...