Adaptive Anchors: Fine-Tuning Object Detection
Adaptive Anchor Boxes: Revolutionizing Object Detection Accuracy Object detection is a fundamental task in computer vision, empowering systems to identify and locate objects within images or videos. One crucial component of successful object detection is the use of anchor boxes – predefined bounding boxes of various sizes and aspect ratios used as initial guesses for the location and scale of target objects. However, traditional methods that rely on fixed-size anchor boxes often struggle with real-world scenarios where objects exhibit a wide range of dimensions and shapes. This is where adaptive anchor box selection comes into play, revolutionizing object detection accuracy by dynamically adjusting anchor sizes to better match the characteristics of the input data. The Limitations of Fixed Anchor Boxes...