A Custom Backbone UNet Framework with DCGAN Augmentation for Efficient Segmentation of Leaf Spot Diseases in Jasmine Plant

Table 2

Performance metrics for various segmentation models with various backbones.

Backbones	Stage	mIoU				Dice
		UNet	WUNet	U2Net	ResUNet	UNet	WUNet	U2Net	ResUNet
ResNet	Brown stage	0.68	0.61	0.62	0.72	0.73	0.71	0.68	0.69
	Final stage	0.78	0.72	0.72	0.73	0.65	0.68	0.71	0.70
EfficientNet	Brown stage	0.86	0.72	0.88	0.82	0.77	0.75	0.72	0.71
	Final stage	0.81	0.68	0.62	0.82	0.78	0.76	0.78	0.74
VGG16	Brown stage	0.83	0.84	0.85	0.79	0.75	0.76	0.77	0.74
	Final stage	0.85	0.81	0.80	0.82	0.84	0.77	0.79	0.78
VGG19	Brown stage	0.85	0.82	0.87	0.78	0.72	0.76	0.77	0.78
	Final stage	0.86	0.81	0.85	0.75	0.79	0.75	0.76	0.79
Custombackbone	Brown stage	0.88	0.86	0.84	0.92	0.85	0.87	0.85	0.95
	Final stage	0.85	0.85	0.87	0.91	0.84	0.85	0.89	0.96

Bold values represent the best performance model.