This project contains the implementation of Support Vector Machine (SVM) classifier which is a supervised machine learning algorithm to recognize faces and if an individual is wearing glasses or not on the Olivetti Faces dataset from the scikit-learn library in Python. In addition, we have also used cross validation method to better understand our formed model’s performance and its various parameters
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Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.
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A-shukla12/FacialGlasses-Recognition
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Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.
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