  Detection performances on bounding box and segmentation mask outputs of Mask
R-CNN models are evaluated. There are significant differences in detection
performances of bounding boxes and segmentation masks, where the former is
constantly superior to the latter. Harmonic values of precisions and recalls of
linear cracks, joints, fillings, and shadows are significantly lower in
segmentation masks than bounding boxes. Other classes showed similar harmonic
values. Discussions are made on different performances of detection metrics of
bounding boxes and segmentation masks focusing on detection algorithms of both
detectors.
