[Retracted] Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System

Table 2

Convolutional layer network parameters.

Type	Number of filters	Filter size/step size	Output
Convolutional layer	32	3 × 3	224 × 224
MaxPool		2 × 2/2	112 × 112
Convolutional layer	64	3 × 3	112 × 112
MaxPool		2 × 2/2	56 × 56
Convolutional layer	128	3 × 3	56 × 56
Convolutional layer	64	1 × 1	56 × 56
Convolutional layer	128	3 × 3	56 × 56
MaxPool		2 × 2/2	28 × 28
Convolutional layer	256	3 × 3	28 × 28
Convolutional layer	128	1 × 1	28 × 28
Convolutional layer	256	3 × 3	28 × 28
MaxPool		2 × 2/2	14 × 14
Convolutional layer	512	3 × 3	14 × 14
Convolutional layer	256	1 × 1	14 × 14
Convolutional layer	512	3 × 3	14 × 14
Convolutional layer	256	1 × 1	14 × 14
Convolutional layer	512	3 × 3	14 × 14
MaxPool		2 × 2/2	7 × 7
Convolutional layer	1024	3 × 3	7 × 7
Convolutional layer	512	1 × 1	7 × 7
Convolutional layer	1024	3 × 3	7 × 7
Convolutional layer	512	1 × 1	7 × 7
Convolutional layer	1024	3 × 3	7 × 7