mascarilla_con_sin_incorrecta Object Detection Dataset and Pre-Trained Model by Nacho Escobar

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Explore Dataset

Here are a few use cases for this project:

Public Health Compliance Monitoring: Governments or public health agencies can use this model to monitor the public's adherence to mask-wearing guidelines in public spaces. This will allow them to track compliance rates and target education or enforcement efforts where they are needed most.
Workplace Safety Management: In workplaces where mask-wearing is vital (like factories, medical facilities, etc), the model can be utilized to ensure that employees are wearing their masks correctly. This will enhance safety, reduce the spread of airborne diseases and potentially improve productivity by reducing sick days.
Smart CCTV Surveillance: The model could be integrated into CCTV systems in train stations, airports or shopping centers to identify individuals not wearing masks or wearing them incorrectly. Alerts can be sent to security personnel for quick action.
Mask Usage Education: The model can be used as part of an interactive educational tool or application that helps instruct individuals on the correct way to wear a mask. Users can upload a selfie and the model will provide feedback on their mask usage.
Access Control in Public Transport and Buildings: The model can be programmed into access control systems to deny entry to people who are not wearing their masks properly. This application could be useful in buses, metros, or other public facilities during a pandemic.

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{
                            mascarilla_con_sin_incorrecta_dataset,
                            title = { mascarilla_con_sin_incorrecta Dataset },
                            type = { Open Source Dataset },
                            author = { Nacho Escobar },
                            howpublished = { \url{ https://universe.roboflow.com/nacho-escobar/mascarilla_con_sin_incorrecta } },
                            url = { https://universe.roboflow.com/nacho-escobar/mascarilla_con_sin_incorrecta },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-05-12 },
                            }