Anchor Boxes: Tuning Distributions for Object Detection
Unveiling the Secrets of Anchor Boxes: How Their Distribution Affects Object Detection Object detection, the ability for machines to identify and locate objects within images, is a cornerstone of modern computer vision. And at the heart of many powerful object detectors lies a fascinating concept – anchor boxes. These pre-defined bounding boxes serve as the initial guesses for potential object locations, guiding the learning process of the detector. But their impact goes far beyond just providing starting points. The distribution of these anchor boxes can significantly influence the training process, introducing biases that directly affect the detector's performance. Let's delve into this crucial aspect and explore how to mitigate these biases. Understanding Anchor Boxes: A Primer Imagine a detective searching...