Question 18
In the YOLO (You Only Look Once) framework, if multiple bounding boxes are predicted by a single grid cell for the same object, how does the algorithm determine which specific bounding box is responsible for that prediction during the training process?
It is observed that the number of bounding boxes printed varies for different input images.
Which of the following statements best explains this behavior?
All predicted boxes for that cell are responsible and updated simultaneously.
The bounding box that has the highest class probability score.
The bounding box that has the highest Intersection over Union (IoU) with the ground truth.
The bounding box that is physically closest to the center of the image.