Name: mask Dataset
License: https://creativecommons.org/publicdomain/zero/1.0/

Images

597 images

Explore Dataset

Here are a few use cases for this project:

Health and Safety Monitoring in Public Spaces: This model can be used in surveillance systems to identify masks types, such as paper or other material masks, worn by people in a public area. This can help track and ensure safety measures are followed during periods such as a pandemic.
Quality Control in Manufacturing: The model can be applied in industries that produce masks, like the beauty or healthcare industries, to detect the type of mask and possible defects, such as holes in the middle of face masks, which could compromise their effectiveness.
Ecological Studies: The model can help entomologists or ecologists in identifying and classifying insect masks in various ecological research contexts.
Hair Salon Services: In hair salons, the model can help identify different types of hair masks and ensure correct application by comparing a person's hair condition before and after using the mask.
Cosmetic Industry Application: The computer vision model can be useful in the cosmetic industry. This can be used to develop augmented reality applications that allow users to virtually 'try on' different types of face masks and see the predicted results on their skin.

Cite This Project

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

@misc{
                            mask-plftg_dataset,
                            title = { mask Dataset },
                            type = { Open Source Dataset },
                            author = { sc ys },
                            howpublished = { \url{ https://universe.roboflow.com/sc-ys/mask-plftg } },
                            url = { https://universe.roboflow.com/sc-ys/mask-plftg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-05-08 },
                            }