Table 3.
Segmentation results of three different models.
| Model | Type | IoU | Accuracy | F1-score | Precision | Recall | Data loading time | Model run time |
|---|---|---|---|---|---|---|---|---|
| DeepLabv3+ | Kenaf | 78.35 | 84.34 | 87.86 | 91.7 | 84.34 | 0.258 | 1.707 |
| Background | 86.69 | 95.21 | 92.87 | 90.65 | 95.21 | |||
| Average | 82.52 | 89.77 | 90.37 | 91.17 | 89.77 | |||
| FCN | Kenaf | 76.71 | 88.13 | 86.82 | 85.54 | 88.13 | 0.204 | 0.566 |
| Background | 84.38 | 90.66 | 91.53 | 92.41 | 90.66 | |||
| Average | 80.54 | 89.39 | 89.17 | 88.98 | 89.39 | |||
| U-Net | Kenaf | 81.3 | 92.33 | 89.68 | 87.19 | 92.33 | 0.244 | 0.653 |
| Background | 87.29 | 91.49 | 93.21 | 95.0 | 91.49 | |||
| Average | 84.29 | 91.91 | 91.45 | 91.1 | 91.91 |