Face-Classification

Face Classification by SVM on Eigenfaces

• The first step is to create Eigenfaces by reducing the dimensions of the dataset using Principal Component Analysis (PCA) and then visualizing them.
• Next, the faces will be classified in the reduced dimension space by using SVM.
• The dataset used in this project is called olivetti_faces and is available in the datasets library of sklearn.
• The sklearn library is used for SVM, PCA and other requirements in this project.