Real-time Face Mask Detection and Validation System Dataset Computer Vision Project
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downloadsThe 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.
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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-8unca_dataset,
title = { Real-time Face Mask Detection and Validation System Dataset Dataset },
type = { Open Source Dataset },
author = { magentacheatingdetection },
howpublished = { \url{ https://universe.roboflow.com/magentacheatingdetection/real-time-face-mask-detection-and-validation-system-dataset-8unca } },
url = { https://universe.roboflow.com/magentacheatingdetection/real-time-face-mask-detection-and-validation-system-dataset-8unca },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-31 },
}