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Conquering Complexity: A Deep Dive into Anchor Box Prioritization Techniques in Object Detection Object detection, the cornerstone of many computer vision applications, involves identifying and localizing objects within an image. While powerful deep learning models have revolutionized this field, a key challenge remains: accurately predicting object boundaries. This is where anchor boxes come into play. Anchor boxes are predefined bounding boxes of various sizes and aspect ratios placed strategically across the input image. They serve as initial guesses for potential object locations, helping the model focus its attention during training and prediction. However, not all anchor boxes are created equal. The Anchor Box Dilemma: Choosing the right anchor boxes is crucial for achieving optimal performance. If they are too small,...