Prerequisite :
You must have python 3.7 or more installed on your system.
You must have Spyder, jupyter notebook or pycharm installed on your system. Spyder or jupyter notebook come up with anaconda. you just need to launch them after installing anaconda.
What you’ll learn
How to read the image data and preprocess it for the face mask detection model.
How to build the face mask detection model using convolutional neural network (CNN) algorithm.
How to Evaluate the model
How to check the accuracy and loss of a model by visualizing it.
How to use the model in real time to detect a person with mask or without masks.
Problem Statement:
COVID-19 virus has affected the whole world very badly and It has a huge impact on our everyday life. One major protection method for the people is to wear masks in public areas. The aim of this project is to identify the person on a real time camera wearing a face mask or not with the help of a Convolutional neural network by using the keras library.
Key highlights of projects or Essence
This project is about Real time face masks detection using deep learning.
This project shows you how to read the image data and preprocess.
This project show you how to use image data to train the model
This project Show you how to build image classification model using convolutional neural network
At the end of the project show you how to use the model to perform the real time face masks detection.
Recommended projects:
Face mask detection
Image classification with CIFAR-10 Dataset
Dogs breed identification
Traffic sign classification
Breast cancer detection
Skills:
Data Science, Machine Learning, scikit-learn, pandas, Face mask detection
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