movses111/coin-classification-armenian-coins
A machine learning project for classifying Armenian coins (10, 20, 100 dram) using classic ML models like SVM, Random Forest, and XGBoost. The pipeline includes data collection, preprocessing (resize, grayscale), feature extraction using HOG, model training/evaluation, and result analysis. The repository contains a Jupyter Notebook implementation but lacks the actual dataset.
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