Facial Recognition and Classification using sklearn in Python

• The objective of this project is to solve the problems of “classification” and “verification” with a popular problem space of "face”.
• Some notable features :-

  • All the proposed algorithms have been applied to 3 datasets

    • Yale Face Dataset
    • Indian Movie Face Dataset
    • IIIT Cartoon Face Dataset

  • Visualization of data using different plots from Matplotlib

  • Use of various feature reduction techniques :-

    • PCA
    • KPCA
    • LDA
    • ResNet Features
    • VGG Features

  • Use of various classification techniques :-

    • Logistic Regression
    • SVM
    • Multiple Layer Perceptron

  • Comparison of different combinations of feature reduction and classification techniques using :-

    • F1 Score
    • Recall
    • Precision