The PKU-Masked-Face Dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University.
The dataset contains 10,301 face images of 1,018 identities. Each identity has masked and common face images with various orientations, lighting conditions and mask types. Most identities have 5 holistic face images and 5 masked face images with 5 different views: front, left, right, up and down.
- The videos and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
- Copyright © National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University (PKU-IDM). All rights reserved.
All publications using PKU-Masked-Face Dataset should cite the paper below:
- Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng and Yonghong Tian. Masked Face Recognition with Latent Part Detection. ACM Multimedia 2020.
Note: The dataset is different from MFI and MFV proposed in the paper. The facial photos in MFI and MFV have potential illegal risks of privacy leakage. The PKU-Masked-Face Dataset is larger and harder than MFI and MFV.
The experimental results of our model on this dataset are shown in the following table. We use the masked face images as the query set and the holistic face images as the gallery set. ResNet50 is used as the baseline model.
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