Comparison of convolutional neural network architectures for face mask detection
In 2020 World Health Organization (WHO) has declared that the Coronaviruses (COVID-19) pandemic is causing a worldwide health disaster. One of the most effective protections for reducing the spread of COVID-19 is by wearing a face mask in densely and close populated areas. In various countries, it h...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/96337/1/MohdAzlanAbu2021_ComparisonofConvolutionalNeuralNetworkArchitectures.pdf http://eprints.utm.my/id/eprint/96337/ http://dx.doi.org/10.14569/IJACSA.2021.0121283 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |