Table 1.

Comparison of learning and test performances between the original Mask RCNN and our approach

	Mask RCNN	Our approach
Training
Classification	0.9544	0.9915
Detection	0.9237	0.9826
Segmentation	0.8945	0.9630
Test
Classification	0.9219	0.9804
Detection	0.8603	0.9781
Segmentation	0.7966	0.9573

Bold numbers represent the best results