Table 5 Evaluation of baseline methods of transfer learning for pest classification.
Parameters (Top to Bottom) | Models (Left to right) | DenseNet201 | EfficientNetB3 | InceptionResNetV2 |
---|---|---|---|---|
Accuracy | 94.86 | 96.56 | 96.39 | |
Validation accuracy | 88.44 | 94.04 | 89.17 | |
Precision | 98.15 | 98.90 | 98.42 | |
Validation precision | 92.07 | 96.04 | 92.77 | |
Recall | 90.49 | 92.61 | 92.70 | |
Validation recall | 87.59 | 92.82 | 87.59 | |
Loss | 0.46 | 0.41 | 0.39 | |
Validation loss | 0.71 | 0.53 | 0.88 |