# Face Mask Detection Weightage 2 — Data

来源：https://www.kaggle.com/competitions/face-mask-detection-weightage-2/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

This project uses a Deep Neural Network, more specifically a Convolutional Neural Network, to differentiate between images of people, with masks, without masks and incorrectly placed masks. Manually built and pretrained networks will be used to perform this classification task.

Face-Mask-Detection-Using-CNN

Outbreak of the Coronavirus pandemic has created various changes in the lifestyle of everyone around the world.
Among these changes, wearing a mask has been very vital to every individual.
Detection of people who are not wearing masks is a challenge due to the large populations.
This face mask detection project can be used in schools, hospitals, banks, airports etc as a digitalized scanning tool.
The technique of detecting people’s faces and segregating them into three classes namely the people with masks and people without masks and partial masks is done with the help of image processing and deep learning.
With the help of this project, a person who is monitoring the face mask status for