Refining Object Detection with Adaptive Anchors
Boosting Object Detection Accuracy: A Deep Dive into Adaptive Anchor Boxes Object detection, the ability of a computer to identify and locate objects within images or videos, is a fundamental task in computer vision with applications spanning from self-driving cars to medical imaging. One crucial component of many object detection algorithms is the use of anchor boxes. These pre-defined boxes act as templates, guiding the model in predicting the location and size of actual objects. However, using fixed-size anchor boxes can be limiting, as real-world objects come in a diverse range of shapes and sizes. Enter adaptive anchor box selection, a technique that dynamically adjusts anchor box dimensions to better match the characteristics of the objects present in an image....