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Sharpening the Focus: How Anchor Boxes Boost Object Detection Imagine trying to find a specific object in a cluttered room – your eyes scan rapidly, focusing on potential areas where it might be. Similarly, object detection algorithms rely on "focus points" called anchor boxes to identify and classify objects within images. But what if these focus points could be more precise and effective? That's where anchor box clustering and representation learning come into play, revolutionizing the way we detect objects in our visual world. Understanding Anchor Boxes: Object detection algorithms use bounding boxes to draw a rectangle around an object of interest within an image. Anchor boxes are predefined boxes with specific sizes and aspect ratios that serve as initial...