A modular, clean-architecture TensorFlow/Keras image classification project designed for multi-class image datasets (e.g., botanical or material sample imagery).
- Configurable dataset loading
- Data augmentation & preprocessing pipeline
- Reusable CNN architecture
- Train/evaluate/save workflow
- Proper separation of concerns
pip install -r requirements.txt