# MaskedFace-Net
**Repository Path**: tfsong2/MaskedFace-Net
## Basic Information
- **Project Name**: MaskedFace-Net
- **Description**: MaskedFace-Net是一个基于数据集Flickr-Faces-HQ (FFHQ)的带有正确佩戴和不正确佩戴面具的人脸数据集(137,016张图片)。
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-08-20
- **Last Updated**: 2024-12-15
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# MaskedFace-Net
MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask (137,016 images) based on the [dataset Flickr-Faces-HQ (FFHQ)](https://github.com/NVlabs/ffhq-dataset).
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](https://arxiv.org/pdf/2008.08016.pdf), 2020.
# Team
Project leaders:
- Adnane Cabani, ESIGELEC/IRSEEM, adnane.cabani@esigelec.fr
- Karim Hammoudi, Université de Haute-Alsace, IRIMAS, karim.hammoudi@uha.fr
Note: project leaders equally contributed to this work.
Contributors:
- Halim Benhabilès, Yncrea Hauts-de-France, IEMN Lille, halim.benhabiles@yncrea.fr
- Mahmoud Melkemi, Université de Haute-Alsace, IRIMAS, mahmoud.melkemi@uha.fr
# Dataset
MaskedFace-Net is available below:
67,193 images with Correctly Masked Face Dataset (CMFD) at 1024×1024: [Go to OneDrive (19 GB)](
https://esigelec-my.sharepoint.com/:f:/g/personal/cabani_esigelec_fr/Ev3GdnQSyzxPjyzU5ElHqagBlkRCaKnnCI85iX-d1L4OHA?e=G7uaYV)
69,823 images with Incorrectly Masked Face Dataset (IMFD) at 1024×1024 - : [Go to OneDrive (20 GB)](https://esigelec-my.sharepoint.com/:f:/g/personal/cabani_esigelec_fr/EirjS8ew7-5LnO8I56Uk63wBKebwSlukFBFBaO8N25wn3g?e=Ho1jHG)
# Licenses
In the following the licenses of the original [FFHQ-dataset](https://github.com/NVlabs/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.