Active Object Detection

Active Object Detection is a technique in the field of computer vision aimed at optimizing and accelerating the training process of object detection models by actively selecting the most informative samples for annotation. This method iteratively evaluates and selects key samples from unlabeled data, reducing annotation costs and improving model performance, making it highly valuable for practical applications.