Table 2 Comparison of average Accuracy, Precision, Recall, F1 score, Times, Flop and Params of different network models.

Methods	Accuracy	Precision	Recall	F1 score	Top Acc	Flop(G)	Params (M)	Times (ms)
ConvNext V2	95.89	96.02	95.98	95.97	96.41	4.45	27.79`	28
InceptionNext	93.81	92.75	92.73	92.72	95.74	4.20	28.04	32
DenseNet121	98.30	98.06	98.06	98.04	99.71	2.83	7.89	37
ResNet50	97.71	97.70	97.69	97.65	99.75	4.13	25.55	14
EfficientNet V2	95.73	95.59	95.52	95.39	98.16	2.85	21.305	26
Mobilenet V4	88.16	88.14	88.05	87.50	93.78	0.18	2.46	6.9
GhostNetV2	91.55	94.47	91.61	91.46	94.07	0.18	4.87	23
Deit3	95.95	95.92	95.89	95.82	98.62	4.24	21.97	7
EfficientFormer V2	96.82	96.11	96.09	96.06	99.04	1.23	12.63	23
MobileVit V2	93.45	92.64	92.58	92.55	96.20	1.41	4.87	14
SwinTransformer V2	96.29	96.29	96.23	96.18	98.25	4.51	28.33	17
TinyVit	96.20	95.54	95.43	95.46	97.70	1.19	12.07	10
CaitNet	93.43	92.89	93.44	92.87	98.54	8.63	46.82	15
MvitV2	80.86	80.56	80.58	80.31	89.97	3.97	24.07	17
DLVTNet	98.48	98.48	98.47	98.46	99.79	0.49	1.05	8

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