Table 3 IOU and F1 score averaged over the five cross-validation fold of VegAnn computed at the dataset and image-level.
Model | Encoder | IOUimage | F1image | IOUdataset | F1dataset |
|---|---|---|---|---|---|
Unet | Resnet34 | 86.0 ± 1.2 | 91.0 ± 0.9 | 89.7 ± 1.4 | 94.5 ± 0.8 |
Unet | Resnet50 | 86.3 ± 0.8 | 91.4 ± 0.8 | 90.0 ± 0.5 | 94.8 ± 0.3 |
DeepLabV3 | Resnet34 | 85.4 ± 0.6 | 90.8 ± 0.5 | 89.5 ± 0.2 | 94.5 ± 0.2 |
DeepLabV3 | Resnet50 | 84.9 ± 0.8 | 90.5 ± 0.7 | 89.0 ± 0.8 | 94.2 ± 0.5 |