Roboflow Universe Group TBD Real-time Face Mask Detection and Validation System Dataset

Real-time Face Mask Detection and Validation System Dataset Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

1716 images

Explore Dataset

The Project

This project aims to create a Face Mask Detection Dataset by sourcing from other datasets, as a requirement for the partial completion of the course System Integration and Architecture 2 (IT0129) in FEU Institute of Technology.

Descriptions of each class type (will reflect those in the generated versions)

mask_proper - refers to masked faces wherein masks are worn properly mask_improper - refers to masked faces wherein masks are worn improperly (e.g., uncovered portions of the face like a significant portion of the nose and/or mouth) mask_none - refers to persons not wearing any masks at all (this may include persons whose face masks are dangling under their chins or over their heads)

Current status and timeline

Data is still being added and annotated. More data are needed for the classes: mask_improper & mask_none.

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{
                            real-time-face-mask-detection-and-validation-system-dataset_dataset,
                            title = { Real-time Face Mask Detection and Validation System Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Group TBD },
                            howpublished = { \url{ https://universe.roboflow.com/group-tbd/real-time-face-mask-detection-and-validation-system-dataset } },
                            url = { https://universe.roboflow.com/group-tbd/real-time-face-mask-detection-and-validation-system-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-30 },
                            }