Masks Computer Vision Project

FMask

Updated a year ago

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Classes (4)
facing_backwards
mask_weared_incorrect
with_mask
without_mask

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 2024-11-08 },
                            }
                        
                    

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