Small Metal Object Classification

Created and analysed a dataset of small metal objects, then compared classical feature extraction (HOG, LBP) paired with k-nearest neighbours, support vector machines and Naive Bayes against deep-learning baselines.

Published in Visual Computing for Industry, Biomedicine, and Art — see Publications.

Stack: Python · scikit-learn · HOG/LBP · CNNs