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This is an image classification problem, and the aim is to perform facemask using the Convolution Neural Network (CNN) workflow in TensorFlow and OpenCV

License: GNU General Public License v3.0

Jupyter Notebook 97.20% Python 2.80%

facemaskdetection's Introduction

FaceMaskDetection

This is an image classification problem, and the aim is to perform face mask detection using the Convolutional Neural Network (CNN) workflow in TensorFlow and OpenCV

Dataset

  • The dataset contains train (with 1315 images) and test folders (with 194 images), and each folder contains 2 subfolders (i.e., with_mask and without_mask), each having equal number of images for both train and test sets. A with_mask folder consists of images of people with mask, and the images of people without masks is stored in a without_mask folder.

Files

This repo contains 6 files namely:

  • face_mask_detection2.ipynb : Python file for model development
  • implement_mask_detection.py : Python file for face mask detection
  • facemaskdetectormodel2.h5 : CNN model
  • haarcascade_frontalface_default.xml : Frontal face detector

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