Table 2.

Jaccard Index table for the nine AI models

Jaccard Index: Solo Deep Learning
	Seen-AI		Unseen-AI
Model	CRO-CRO	ITA-ITA	CRO-ITA	ITA-CRO
PSPNet	0.86	0.87	0.87	0.8
SegNet	0.9	0.93	0.8	0.83
UNet	0.87	0.92	0.87	0.83
µ	0.88	0.91	0.85	0.82
σ	0.02	0.03	0.04	0.02
Jaccard Index: Hybrid Deep Learning
	Seen-AI		Unseen-AI
Model	CRO-CRO	ITA-ITA	CRO-ITA	ITA-CRO
VGG-PSPNet	0.85	0.95	0.9	0.81
VGG-SegNet	0.89	0.93	0.85	0.86
VGG-UNet	0.92	0.9	0.88	0.74
ResNet-PSPNet	0.89	0.91	0.9	0.83
ResNet-SegNet	0.93	0.94	0.91	0.88
ResNet-UNet	0.93	0.95	0.89	0.88
µ	0.90	0.93	0.89	0.83
σ	0.03	0.02	0.02	0.05
% Improvement	3%	3%	5%	2%