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. 2026 Feb 10;17:1747657. doi: 10.3389/fpls.2026.1747657

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