Image and Digit Classification
Developed multiple classification systems for computer vision tasks including face recognition and digit classification. Implemented three different algorithms: Naive Bayes, Perceptron, and K-Nearest Neighbor (KNN). Each classifier was optimized for its specific task, providing robust solutions for image recognition and pattern matching applications.
Project Overview
Developed multiple classification systems for computer vision tasks including face recognition and digit classification. Implemented three different algorithms: Naive Bayes, Perceptron, and K-Nearest Neighbor (KNN). Each classifier was optimized for its specific task, providing robust solutions for image recognition and pattern matching applications.
Technologies Used
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