Research Article
Fish Detection Using Deep Learning
Table 1
Parameters in CNN model with image segmentation.
| Layer | Input size | Filter size | Stride | Output size |
| Conv. 1 | | [7 × 7 × 3 × 64] | 2 | | Maxpool 1 | | [2 × 2] | 2 | | Conv. 2 | | [3 × 3 × 32 × 192] | 1 | | Maxpool 2 | | [2 × 2] | 2 | | Conv. 3 | | [3 × 3 × 128 × 256] | 1 | | Conv. 4 | | [3 × 3 × 128 × 256] | 1 | | Conv. 5 | | [1 × 1 × 256 × 256] | 1 | | Conv. 6 | | [3 × 3 × 256 × 512] | 1 | | Maxpool 3 | | [2 × 2] | 2 | | Conv. 7 | | [1 × 1 × 256 × 256] | 1 | | Conv. 8 | | [1 × 1 × 256 × 256] | 1 | | Conv. 9 | | [1 × 1 × 256 × 256] | 1 | | Conv. 10 | | [1 × 1 × 256 × 256] | 1 | | Conv. 11 | | [3 × 3 × 256 × 512] | 1 | | Conv. 12 | | [3 × 3 × 512 × 512] | 1 | | Conv. 13 | | [3 × 3 × 512 × 512] | 1 | | Conv. 14 | | [3 × 3 × 512 × 512] | 1 | | Conv. 15 | | [1 × 1 × 512 × 512] | 1 | | Conv. 16 | | [3 × 3 × 512 × 1024] | 1 | | Maxpool 4 | | [2 × 2] | 2 | | Conv. 17 | | [1 × 1 × 512 × 256] | 1 | | Conv. 18 | | [3 × 3 × 256 × 1024] | 1 | | Conv. 19 | | [1 × 1 × 1024 × 512] | 1 | | Conv. 20 | | [3 × 3 × 512 × 1024] | 1 | | Conv. 21 | | [3 × 3 × 512 × 1024] | 1 | | Conv. 22 | | [3 × 3 × 1024 × 1024] | 1 | | Conv. 23 | | [3 × 3 × 1024 × 1024] | 2 | | Conv. 24 | | [3 × 3 × 1024 × 1024] | 1 | | Fully conn.1 | | [1024 × 4] | Multi | [1 × 4096] | Fully conn. 2 | [1 × 4096] | [4096 × 7 × 7 × 30] | Multi | [7 × 7 × 30] |
|
|