Table 2 Segmentation results comparing CD-SegNet with SegNet, SVM, and RF
From: Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning
Model | mIoU (%) | Recall (%) | Precision (%) | F1-score (%) |
|---|---|---|---|---|
CD-SegNet | 77.13 | 84.71 | 90.82 | 87.93 |
SegNet | 74.52 | 81.36 | 89.71 | 85.47 |
SVM | 64.27 | 78.28 | 73.42 | 75.58 |
RF | 58.63 | 66.84 | 78.51 | 72.16 |