Table 5.
Model | Accuracy | Precision | Recall | F1-Score | Training Epochs |
---|---|---|---|---|---|
AlexNet | 76% | 77% | 68% | 72% | 49 |
SqueezeNet | 72% | 68% | 71% | 70% | 26 |
MobileNet V3 | 60% | 54% | 76% | 63% | 49 |
Modified SqueezeNet (proposed) | 90% | 89% | 91% | 90% | 35 |
Model | Accuracy | Precision | Recall | F1-Score | Training Epochs |
---|---|---|---|---|---|
AlexNet | 76% | 77% | 68% | 72% | 49 |
SqueezeNet | 72% | 68% | 71% | 70% | 26 |
MobileNet V3 | 60% | 54% | 76% | 63% | 49 |
Modified SqueezeNet (proposed) | 90% | 89% | 91% | 90% | 35 |