Table 2.
YOLO V3 hyper parameters.
| Type | Filters | Size | Output |
|---|---|---|---|
| Convolutional | 32 | 3 × 3 | 256 × 256 |
| Convolutional | 64 | 3 × 3/2 | 128 × 128 |
| Convolutional | 32 | 1 × 1 | |
| Convolutional | 64 | 3 × 3 | |
| Residual | 128 × 128 | ||
| Convolutional | 128 | 3 × 3/2 | 64 × 64 |
| Convolutional | 64 | 1 × 1 | |
| Convolutional | 128 | 3 × 3 | |
| Convolutional | 256 | 3 × 3/2 | 32 × 32 |
| Convolutional | 128 | 1 × 1 | |
| Convolutional | 256 | 3 × 3 | |
| Residual | 32 × 32 | ||
| Convolutional | 512 | 3 × 3/2 | 16 × 16 |
| Convolutional | 256 | 1 × 1 | |
| Convolutional | 512 | 3 × 3 | |
| Residual | 16 × 16 | ||
| Convolutional | 1,024 | 3 × 3/2 | 8 × 8 |
| Convolutional | 512 | 1 × 1 | |
| Convolutional | 1,024 | 3 × 3 | |
| AVG pool | GLOBAL | ||
| Connected | 1,000 | ||
| Soft max |