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