Reliable spatial uncertainty evaluation of object detection models is special interest and has been subject recent work. In this work, we review the existing definitions for calibration probabilistic regression tasks. We inspect properties common networks extend state-of-the-art recalibration methods. Our methods use a Gaussian process (GP) scheme that yields parametric distributions as output ...