Table 4.

Structural parameters of the ToolWearnet model.

Number	Layer Name	Size of Input Feature Maps	Size of Filters	Padding	Stride	Size of Output Feature Maps
0	Input	224 × 224 × 3	-	-	-	224 × 224 × 3
1	Conv1	224 × 224 × 3	3 × 3 × 64	1	1	224 × 224 × 64
2	Conv2	224 × 224 × 64	3 × 3 × 64	1	1	224 × 224 × 64
3	MaxPool1	224 × 224 × 64	2 × 2 × 128	2	0	112 × 112 × 128
4	Conv3	112 × 112 × 128	3 × 3 × 128	1	1	112 × 112 × 128
5	Conv4	112 × 112 × 128	3 × 3 × 128	1	1	112 × 112 × 128
6	MaxPool2	112 × 112 × 128	2 × 2 × 256	2	0	56 × 56 × 256
7	Conv5	56 × 56 × 256	3 × 3 × 256	1	1	56 × 56 × 256
8	Conv6	56 × 56 × 256	3 × 3 × 256	1	1	56 × 56 × 256
9	MaxPool3	56 × 56 × 256	2 × 2 × 256	2	0	28 × 28 × 256
10	Conv7	28 × 28 × 256	3 × 3 × 256	1	1	28 × 28 × 256
11	Conv8	28 × 28 × 256	3 × 3 × 256	1	1	28 × 28 × 256
12	MaxPool4	28 × 28 × 256	2 × 2 × 512	2	0	14 × 14 × 512
13	Conv9	14 × 14 × 512	3 × 3 × 512	1	1	14 × 14 × 512
14	Conv10	14 × 14 × 512	3 × 3 × 512	1	1	14 × 14 × 512
15	Conv11	14 × 14 × 512	3 × 3 × 512	1	1	14 × 14 × 512
16	AvgPool	14 × 14 × 512	4 × 4 × 512	2	0	6 × 6 × 512
17	FC	6 × 6 × 512	-	-	-	4