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Comparison of results from ImageNet- and PlantNet-pre-trained backbones in a single-stage detector.
| Class | Average precision of the ImageNet pre-trained backbone | Average precision of PlantNet |
| Angular leafspot | 74.72% | 81.69% |
| Anthracnose fruit rot | 87.38% | 90.23% |
| Gray mold | 89.68% | 90.00% |
| Leaf blight | 87.64% | 89.81% |
| Leaf spot | 71.66% | 80.48% |
| Powdery mildew fruit | 83.94% | 84.01% |
| Powdery mildew leaf | 86.91% | 88.59% |
| mAP | 83.13% | 86.40% |
