Ground Truth Bounding Box

Ground truth bounding boxes are the precisely annotated rectangular regions defining the location of objects in images or 3D scenes, serving as the gold standard for evaluating object detection models. Current research focuses on improving the accuracy of predicted bounding boxes, often by directly optimizing metrics like Intersection over Union (IoU) through novel loss functions or incorporating explainable AI techniques to refine predictions. This work is crucial for advancing object detection across diverse applications, from medical image analysis where precise localization is critical for diagnosis, to autonomous driving where accurate object detection is essential for safety.