classification_model/training_summary.md

Enhanced Ripeness Classifier Training Summary

• Best Validation Accuracy: 91.71%
• Final Training Accuracy: 89.76%
• Final Validation Accuracy: 88.63%
• Target Achieved: ❌ No
• Training Images: 1,436 (564 unripe + 872 ripe)
• Model: EfficientNet-B0 with dropout
• Key Improvements: OneCycleLR, heavy augmentation, label smoothing

📈 Improvement

Accuracy improved from 91.94% to 91.71%. Consider additional improvements.

Next Steps

1. Test the enhanced model on sample images
2. Compare with baseline model
3. Export to TFLite for Raspberry Pi deployment
4. Integrate with strawberry detector