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

Table 1

Overview of the network framework, featuring MobileNetV4 large as the backbone architecture.

Name	Layer	Feature maps	Parameter
Input_1	InputLayer	3	0
conv1	Conv2D	32	864
conv1_bn	BatchNormalization	32	128
conv1_relu	ReLU	32	0
conv_dw_1	DepthwiseConv2D	32	288
conv_dw_1_bn	BatchNormalization	32	128
conv_dw_1_relu	ReLU	32	0
conv_pw_1	Conv2D	64	2048
conv_pw_1_bn	BatchNormalization	64	256
conv_pw_1_relu	ReLU	64	0
conv_pad_2	ZeroPadding2D	64	0
conv_dw_2_bn	BatchNormalization	64	256
conv_dw_2_relu	ReLU	64	0
conv_pw_2	Conv2D	128	8192
conv_pw_2_bn	BatchNormalization	128	512
conv_pw_2_relu	(ReLU)	128	0
conv_dw_3	DepthwiseConv2D	128	1152
conv_dw_3_bn	BatchNormalization	128	512
conv_dw_3_relu	ReLU	128	0
conv_pw_7	Conv2D	128	11384
conv_pw_7_bn	BatchNormalization	128	512
conv_dw_7	DepthwiseConv2D	1024	9216
conv_dw_7_bn	BatchNormalization	1024	4096
conv_dw_7_relu	ReLU	1024	0
conv_pw_7	Conv2D	1024	18576
sequential_1	Sequential	128	19728
dense_1	Dense	5	645