vegetable-classification

🍎 Fruit & vegetable image classifier using TensorFlow CNN. 18 categories, Streamlit web app, Jupyter training notebooks, modular Python code. Learn computer vision & deep learning. Automated preprocessing, metrics visualization, easy deployment. Educational ML project with clean architecture.

Real-time vegetable waste classification system with nutritional analysis and feed optimization.

Vegetable Classification

A deep learning project focused on building and improving automatic vegetable classification models using techniques like fine-tuning, augmentation, regularization, and transfer learning with AlexNet, ResNet-18, and EfficientNet-B0.

Split Flask/model-service produce platform with VegNet-23 and VegNet-101 packages, authentication/history/governance, 217 backend + 22 model tests, and ≥85% coverage gates.

11-class vegetable CNN study across four 23×23/101×101 augmentation regimes; several runs reach ~88%, while one depthwise run records ~94.2% test accuracy.