Adv_DS_Capstone_Project

This project is submitted as the capstone project for Advanced Data Science with IBM course in coursera. This project is about face mask classification.

I would like to acknowledge the authors of these task and images. Kaggle problem: https://www.kaggle.com/andrewmvd/face-mask-detection Source of the data: https://makeml.app/datasets/mask

This data set contains labelled images of 3 classes – Mask worn, Mask worn incorrectly and Mask not worn. The aim is to create a classification model.

OpenCV is used for image processing and real time mask detection.

There are 3 models used for this project:

1. PCA & SVM
2. RandomForest
3. CNN using Keras

There is also a real time face mask detector to test the models.

Please refer to the pdf document entitled "AdvDSCourseReadMe" for more details on how to execute all the python notebooks. https://github.com/VigKu/Adv_DS_Capstone_Project/blob/master/AdvDSCourseReadMe.pdf