A machine learning project focused on classifying traffic signs using two different approaches: a tree-based model (Random Forest/XGBoost) and a deep learning model (CNN). Designed for enhanced road safety and as a crucial step towards autonomous driving systems.
python tensorflow keras cnn randomforest xgboost machinelearning deeplearning imageclassification trafficsignrecognition
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Updated
Jun 2, 2025 - Jupyter Notebook