Masked people Object Detection Dataset and Pre-Trained Model by Inteligncia Computacional UFPA

Images

1289 images

Explore Dataset

Here are a few use cases for this project:

Public Health Monitoring: Utilize the "Masked people" computer vision model to monitor and ensure proper mask-wearing compliance in public spaces such as schools, hospitals, malls, and transportation hubs. This can help maintain safety standards and reduce the spread of airborne diseases, such as COVID-19.
Smart Surveillance Systems: Integrate the "Masked people" model into security camera systems to detect individuals wearing masks correctly, not wearing masks, or using masks wrongly. This could assist security personnel in identifying and responding to potential safety risks or non-compliant behavior more efficiently.
Retail Store Compliance: Use the model to monitor mask compliance within retail stores or restaurants, helping businesses adhere to local mask mandates and reduce the risk of disease transmission among customers and staff.
Mask Usage Analytics: Employ the "Masked people" computer vision model in research studies to analyze and understand mask usage patterns within specific regions or demographic groups. This could inform public health policy, education campaigns, and targeted interventions to improve mask-wearing compliance.
Access Control Systems: Integrate the "Masked people" model into building access control systems, which only grant entry to those following proper mask usage guidelines. This can help enforce safety protocols in private and public facilities, such as offices, gyms, and residential complexes.

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.

Cite This Project

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

@misc{
                            masked-people_dataset,
                            title = { Masked people  Dataset },
                            type = { Open Source Dataset },
                            author = { Inteligncia Computacional UFPA },
                            howpublished = { \url{ https://universe.roboflow.com/inteligncia-computacional-ufpa/masked-people } },
                            url = { https://universe.roboflow.com/inteligncia-computacional-ufpa/masked-people },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }