Introduction:

• Face mask detection had seen significant progress in the domains of Image processing and Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have been created using several algorithms and techniques. The approach in this project uses deep learning, TensorFlow, Keras, and OpenCV to detect face masks.
• Convolutional Neural Network, Data augmentation are the key to this project.

Example:

Methodology:

Setup Instructions:

• This project contains datset with large number of data so all the datsets(Training, Testing, Validation) are put in a file named 'Dataset.rar'. This file needs to be extracted before proceeding with the project.
• The python script is fully made using Kaggle kernel. Anyone proceeding with the script are suggested to use Kaggle kernel, Google Colab, or Jupyter Notebook to run the script smoothly.
• All the datasets from the file 'Dataset.rar' should be uploaded, then the path is used in the script.

Requirements:

• numpy
• pandas
• tensorflow
• opencv
• keras
• sklearn

Install all the modules listed under 'Requirements' section.