Masks Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Public Health Compliance Monitoring: This model can be integrated into CCTV and surveillance systems in public spaces, businesses, and transit systems to monitor compliance with public health requirements for wearing masks during pandemic situations.
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Retail and Commercial Business Tracking: Businesses such as shops and malls can use the model to ensure customers are correctly following mask rules. They can use the data collected to identify high-risk periods or locations where compliance is low.
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Education Institutions: Schools, universities and other educational institutions can use the model to ensure students, staff and visitors are abiding by mask guidelines on campus - both inside buildings and in outdoor areas.
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Transportation Safety: Airlines, buses, and trains may use this model to monitor passenger compliance with mask regulations during transit. It could also be applied to station or airport security footage.
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Workplace Safety: In workplaces where masks are mandatory, such as healthcare settings or factories, this model can help monitor employee mask usage and can aid in enforcing proper mask wearing protocol.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
masks-hooez_dataset,
title = { Masks Dataset },
type = { Open Source Dataset },
author = { FMask },
howpublished = { \url{ https://universe.roboflow.com/fmask/masks-hooez } },
url = { https://universe.roboflow.com/fmask/masks-hooez },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-26 },
}