MaskedFace-Net is dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

MaskedFace-Net

MaskedFace-Net is a dataset of human faces with a correctly or incorrectly worn mask (137,016 images) based on the dataset Flickr-Faces-HQ (FFHQ).

For more details about this work:

Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi, "MaskedFace-Net - A dataset of correctly/incorrectly masked face images in the context of COVID-19", arXiv:2008.08016, 2020.

Team

Project leaders:

• Adnane Cabani, ESIGELEC/IRSEEM, adnane[email protected]
• Karim Hammoudi, Université de Haute-Alsace, IRIMAS, [email protected]

Note: project leaders equally contributed to this work.

Contributors:

• Halim Benhabiles, Yncrea Hauts-de-France, IEMN Lille, [email protected]
• Mahmoud Melkemi, Université de Haute-Alsace, IRIMAS, [email protected]

Dataset

MaskedFace-Net is available below:

67,193 images with Correctly Masked Face Dataset (CMFD) at 1024×1024: Go to OneDrive (19 GB)

69,823 images with Incorrectly Masked Face Dataset (IMFD) at 1024×1024 - : Go to OneDrive (20 GB)

Licenses

In the following the licenses of the original FFHQ-dataset: The individual images were published in Flickr by their respective authors under either Creative Commons BY 2.0, Creative Commons BY-NC 2.0, Public Domain Mark 1.0, Public Domain CC0 1.0, or U.S. Government Works license. All of these licenses allow free use, redistribution, and adaptation for non-commercial purposes. However, some of them require giving appropriate credit to the original author, as well as indicating any changes that were made to the images. The license and original author of each image are indicated in the metadata.

• https://creativecommons.org/licenses/by/2.0/
• https://creativecommons.org/licenses/by-nc/2.0/
• https://creativecommons.org/publicdomain/mark/1.0/
• https://creativecommons.org/publicdomain/zero/1.0/
• http://www.usa.gov/copyright.shtml

The dataset itself (including JSON metadata, download script, and documentation) is made available under Creative Commons BY-NC-SA 4.0 license by NVIDIA Corporation. You can use, redistribute, and adapt it for non-commercial purposes, as long as you (a) give appropriate credit by citing our paper, (b) indicate any changes that you've made, and (c) distribute any derivative works under the same license. https://creativecommons.org/licenses/by-nc-sa/4.0/

The licenses of MaskedFace-Net dataset: The dataset is made available under Creative Commons BY-NC-SA 4.0 license by NVIDIA Corporation. You can use, redistribute, and adapt it for non-commercial purposes, as long as you

1. give appropriate credit by citing our papers:
   1. Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi, "MaskedFace-Net - A dataset of correctly/incorrectly masked face images in the context of COVID-19", arXiv:2008.08016, 2020.
   2. Karim Hammoudi, Adnane Cabani, Halim Benhabiles, and Mahmoud Melkemi,"Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19", CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663
2. indicate any changes that you've made,
3. and distribute any derivative works under the same license. https://creativecommons.org/licenses/by-nc-sa/4.0/

Bibtex references

Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi, "MaskedFace-Net - A dataset of correctly/incorrectly masked face images in the context of COVID-19", arXiv:2008.08016, 2020.

@misc{cabani2020maskedfacenet,
    title={MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19},
    author={Adnane Cabani and Karim Hammoudi and Halim Benhabiles and Mahmoud Melkemi},
    year={2020},
    eprint={2008.08016},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Karim Hammoudi, Adnane Cabani, Halim Benhabiles, and Mahmoud Melkemi,"Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask" to limit the spread of COVID-19", CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 1049-1059, 2020, DOI:10.32604/cmes.2020.011663

@Article{cmes.2020.011663,
    title={Validating the Correct Wearing of Protection Mask by Taking a Selfie: Design of a Mobile Application “CheckYourMask” to Limit the Spread of COVID-19},
    author={Karim Hammoudi, Adnane Cabani, Halim Benhabiles, Mahmoud Melkemi},
    journal={Computer Modeling in Engineering \& Sciences},
    volume={124},
    year={2020},
    number={3},
    pages={1049--1059},
    url={http://www.techscience.com/CMES/v124n3/39927},
    issn={1526-1506},
    doi={10.32604/cmes.2020.011663}
}