Bounding Box Regression It is a metric for measuring how well predicted bounding boxes captures objects. This is done by calculating the mean-squared error (MSE) between the coordinates of predicted bounding boxes and the ground truth bounding boxes. Calculation The MSE between two bounding boxes, P and Q is given by: Where 4 comes from the fact that we want the mean of 4 coordinates (x1, y1, x2..
