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trash-pandas

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HiroshiJoe / Trash_Classification

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This project compares MobileNetV2 and a custom CNN model for trash classification, using feature extraction techniques like edge detection and Local Binary Patterns (LBP). Results show that MobileNetV2 without explicit feature extraction achieves the highest accuracy, providing insights for improving waste management applications.

data-science data environment machine-learning-models huggingface trash-classification trash-pandas
  • Updated Oct 18, 2024
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