Yolo_work_v1 Computer Vision Project

623924904@qq.com

Updated 3 years ago

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Classes (8)
coat_half
coat_off
coat_on
gargle_on
glass_off gargle_off
glass_on
mask_off
mask_on
Description

Here are a few use cases for this project:

  1. COVID-19 Compliance Monitoring: The model Yolo_work_v1 can be used in public places like malls, restaurants, and airports to monitor the compliance of COVID-19 safety protocols by identifying whether individuals are wearing their masks properly or not.

  2. Workplace Safety Enforcement: In laboratory settings or manufacturing industries where protective equipment such as coats and glasses are mandatory, this model can be used to ensure all personnel have their safety gears on before entering hazardous areas.

  3. Health Hygiene Practices Education: In educational or training contexts, the model can be used to create interactive lessons or simulations about proper hygiene practices like wearing masks and gargling.

  4. Automated Access Control Systems: The model can be integrated into access control or security systems to grant or deny access based on whether an individual is following the required dress code, such as wearing a lab coat in a scientific laboratory.

  5. Telemedicine and Health Apps: The model can be incorporated into telemedicine applications or health apps to guide users in donning appropriate safety gear for at-home medical procedures or tests. For example, it can instruct and check if a user has properly worn a mask or eye protection before starting an at-home COVID-19 test.

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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{
                            yolo_work_v1_dataset,
                            title = { Yolo_work_v1 Dataset },
                            type = { Open Source Dataset },
                            author = { 623924904@qq.com },
                            howpublished = { \url{ https://universe.roboflow.com/623924904-qq-com/yolo_work_v1 } },
                            url = { https://universe.roboflow.com/623924904-qq-com/yolo_work_v1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-11-13 },
                            }
                        
                    

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