Research Article
Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety Identification
Table 2
Description of DarkNet19 architecture.
| Type | Filters | Size/stride | Output |
| Convolutional | 34 | 3 × 3 | 224 × 2 24 | Maxpool | | 2 × 2/2 | 112 × 112 | Convolutional | 64 | 3 × 3 | 112 × 112 | Maxpool | | 2 × 2/2 | 56 × 56 | Convolutional | 128 | 3 × 3 | 56 × 56 | Convolutional | 64 | 1 × 1 | 56 × 56 | Convolutional | 128 | 3 × 3 | 56 × 56 | Maxpool | | 2 × 2/2 | 28 × 28 | Convolutional | 256 | 3 × 3 | 28 × 28 | Convolutional | 128 | 1 × 1 | 28 × 28 | Convolutional | 256 | 3 × 3 | 28 × 28 | Maxpool | | 2 × 2/2 | 14 × 14 | Convolutional | 512 | 3 × 3 | 14 × 14 | Convolutional | 256 | 1 × 1 | 14 × 14 | Convolutional | 512 | 3 × 3 | 14 × 14 | Convolutional | 256 | 1 × 1 | 14 × 14 | Convolutional | 512 | 3 × 3 | 14 × 14 | Maxpool | | 2 × 2/2 | 7 × 7 | Convolutional | 1024 | 3 × 3 | 7 × 7 | Convolutional | 512 | 1 × 1 | 7 × 7 | Convolutional | 1024 | 3 × 3 | 7 × 7 | Convolutional | 512 | 1 × 1 | 7 × 7 | Convolutional | 1024 | 3 × 3 | 7 × 7 | Convolutional | 5 | 1 × 1 | 7 × 7 | New_softmax | | Global | 5 |
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