Mask Wearing Object Detection Dataset and Pre-Trained Model by Roboflow Universe Projects

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Explore Dataset

Here are a few use cases for this project:

Public Health Monitoring: The "Mask Wearing" model can be used by public health authorities or traffic surveillance systems to monitor compliance with mask-wearing regulations in public spaces, such as train stations, shopping malls, or busy streets, to ensure public health and safety.
Retailer and Restaurant Compliance: The model can be used by retailers and restaurant owners to ensure their employees and customers are adhering to company-instituted protocols, helping them maintain the desired environment.
Workplace Safety: Companies can implement the "Mask Wearing" model within their office spaces or industrial environments to monitor employee compliance with mask-wearing policies, maintaining a safe workplace and reducing the risk of disease transmission, and mitigating inhalation of harmful dust or debris.
Event Management: Event organizers and venues can use the model to ensure attendees and staff at large gatherings, such as conferences, concerts, or sporting events, are wearing protective masks, enhancing safety measures and reducing the risk of infection in crowded public events.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            mask-wearing-iskms_dataset,
                            title = { Mask Wearing Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow Universe Projects },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-universe-projects/mask-wearing-iskms } },
                            url = { https://universe.roboflow.com/roboflow-universe-projects/mask-wearing-iskms },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-04-20 },
                            }