Fine-Tuning Object Detection with Strategic Anchors
Anchors Away: Why Prioritizing Your Object Detection Boxes Matters Object detection, the cornerstone of many computer vision applications, involves identifying and localizing objects within images. While powerful deep learning models have revolutionized this field, a crucial component often overlooked is the role of anchor boxes. Anchor boxes are pre-defined bounding boxes with various sizes and aspect ratios placed across an image grid. During training, the network predicts offsets and confidence scores for each anchor box relative to the ground truth objects. This approach allows the model to learn a flexible representation of object shapes and locations. However, not all anchor boxes are created equal. Selecting the right set of anchors is vital for efficient and accurate object detection. Enter anchor...