datarootsio/tutorial-face-mask-detection
In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
This project helps operations managers and facility supervisors automatically check if people entering a building are wearing face masks. It takes images or video frames of people and analyzes them to detect individual faces. For each detected face, it determines whether a mask is present or not, and then outputs an annotated image showing who is unmasked.
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Use this if you need an automated way to monitor mask compliance in a physical space, like an office building, retail store, or public transport hub.
Not ideal if you require 100% accuracy in all lighting conditions or if you cannot deploy image processing technology due to privacy regulations.
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89
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Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 21, 2022
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