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. 2024 Jan 5;17:1294211. doi: 10.3389/fnbot.2023.1294211

Table 3.

Experimental results of the vehicle classification method.

Algorithm Accuracy (%) Classification efficiency(n/s)
CNN 83.17 50
VGG16 86.47 45
ResNet50 91.78 63
Densely connected network 90.63 102
HSV + CNN 88.76 47
HSV + VGG16 92.84 40
HSV + ResNet50 95.06 55
HSV + Densely connected network 94.24 94