Anchor Box Tuning: Precision vs. Recall in Object Detection
Striking a Balance: Exploring the Precision-Recall Trade-Off with Anchor Boxes in Object Detection Object detection, the ability of a computer vision system to identify and locate objects within an image or video, is a fundamental task with wide-ranging applications. From self-driving cars to medical imaging analysis, accurate object detection is crucial. One key component of many popular object detection algorithms are anchor boxes. These predefined bounding boxes act as templates for potential object locations, helping the model predict the size and position of objects within an image. However, the choice of anchor boxes significantly impacts the performance of the detector, introducing a critical trade-off between precision and recall. Precision measures the accuracy of detected objects, or how many of the...