Face Classification Using Generative Models and EM Maximization (Feb '20)
- Extracted and trained 10,000 images from FDDB data set.
- Designed a face detection algorithm using models like Gaussian, mixture of Gaussian, T-model and factor analysis using python.
- Achieved an accuracy of 89\%