Research Article
Recent Advancements in Fruit Detection and Classification Using Deep Learning Techniques
Table 5
Result comparisons of the deployed classifiers.
| Model | Training loss | Training accuracy | Validation loss | Validation accuracy | Testing accuracy (%) |
| CNN | 0.001 | 0.999 | 0.007 | 0.999 | 95 | ResNet-50 | 3.803 | 0.995 | 3.803 | 0.996 | 99 |
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