New annotation - facemask Computer Vision Project

new-workspace-ai8os

Updated 3 years ago

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Classes (3)
mask_weared_incorrect
with_mask
without_mask
Description

Here are a few use cases for this project:

  1. Public Health Monitoring: The model can be used by public health agencies to identify areas of improper mask usage to guide public education campaigns or ensure compliance with public health guidelines in areas where wearing masks is mandatory.

  2. Retail Compliance: Retail and other businesses can use it to monitor mask compliance within their premises to maintain a safe environment for customers and employees.

  3. Smart Surveillance Systems: This computer vision model can be integrated into existing CCTV networks to monitor mask usage in real-time, potentially alerting authorities when people do most of their breathing through nose while the mask only covers their mouth.

  4. Social Research: Researchers can use the model to analyze the effectiveness of public health interventions by studying how mask usage changes over time, locations or among different social groups.

  5. Education and Training: The model can be used in creating interactive educational tools or apps aimed at teaching the correct way of wearing face masks as part of safety measures during a pandemic.

Supervision

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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{
                            new-annotation---facemask_dataset,
                            title = { New annotation - facemask Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-ai8os },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-ai8os/new-annotation---facemask } },
                            url = { https://universe.roboflow.com/new-workspace-ai8os/new-annotation---facemask },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2025-02-16 },
                            }
                        
                    

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