NhanPhamThanh-IT/Fruit-Veggie-Classifier
🍎 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.
ArchivedThe CNN model employs a 3-layer convolutional architecture with progressive filter expansion (16→32→64), MaxPooling downsampling, and Dropout regularization, trained with Adam optimizer and Sparse Categorical Crossentropy loss on 180×180 RGB images over 25 epochs. The project integrates TensorFlow/Keras for model training, Streamlit for the interactive web interface, and uses a JSON-based configuration system for managing model parameters, class definitions, and preprocessing settings across modular components.
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15
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3
Language
Python
License
MIT
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Last pushed
Sep 11, 2025
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