YoloV5l6 Computer Vision Project

Flávio Moura

Updated 2 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 YoloV5l6 model can be used to monitor mask usage in public spaces such as transportations hubs, shopping centers, and workplaces, to ensure compliance with public health guidelines and quickly detect individuals who are not wearing masks or wearing them improperly.

  2. Automatic Access Control: The model can be integrated into a building's entry access control system to automatically permit or deny entry based on whether a person is correctly wearing a mask or not. This can help offices, schools, and other institutions maintain safety precautions and mitigate the risk of virus transmission.

  3. Retail Store Compliance Verification: The model can be utilized for retail establishments to monitor their customers and ensure that everyone is wearing a mask correctly and following safety guidelines. This can help stores reinforce a safe environment for their employees and other customers.

  4. Healthcare Facility Surveillance: YoloV5l6 can be deployed to improve safety measures at hospitals, clinics, and other healthcare facilities by monitoring mask wearing compliance among staff members and visitors, ensuring proper personal protective equipment usage, and reducing the risk of spreading infectious diseases.

  5. Public Awareness Campaigns: The model can analyze images and videos of different public scenarios, extracting insights on improper mask-wearing trends or effective public awareness campaigns. The data obtained could then be used by public health agencies to create targeted outreach programs and educational materials, promoting the importance of proper mask-wearing practices.

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{
                            yolov5l6_dataset,
                            title = { YoloV5l6 Dataset },
                            type = { Open Source Dataset },
                            author = { Flávio Moura },
                            howpublished = { \url{ https://universe.roboflow.com/flavio-moura/yolov5l6 } },
                            url = { https://universe.roboflow.com/flavio-moura/yolov5l6 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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