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Real-time Face Mask Detection and Validation System Dataset

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

Group TBD

Updated 2 years ago

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Object Detection Model
Classes (3)
mask_weared_incorrect
with_mask
without_mask

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Description

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.

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Cite This Project

LICENSE
MIT

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 2024-11-21 },
                            }

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