Table 5.

Number of parameters and trainable parameters in transfer learning models and the proposed model

Model Name	Input Image Dimensions	Total number of parameters	Number of trainable parameters
VGG16	224 × 224 × 3	134,276,932	16,388
VGG19	224 × 224 × 3	139,586,628	16,388
MobileNetV2	224 × 224 × 3	2,263,108	5124
EfficientNet B0	224 × 224 × 3	4,054,688	5124
EfficientNet B2	260 × 260 × 3	7,774,198	5636
InceptionV3	299 × 299 × 3	21,810,980	8196
ResNetV2_152	224 × 224 × 3	58,339,844	8196
InceptionResNetV2	299 × 299 × 3	54,342,884	6148
NASNetMobile	224 × 224 × 3	4,273,944	4228
The proposed model	224 × 224 × 3	1,043,558	1,043,558