Skip to content
master
Switch branches/tags
Code

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Jun 2, 2018

Face Synthesis for Eyeglass-Robust Face Recognition

[ArXiv]

Intro

This repo releases the MeGlass dataset in original paper. MeGlass is an eyeglass dataset originaly designed for eyeglass face recognition evaluation. All the face images are selected and cleaned from MegaFace. Each identity has at least two face images with eyeglass and two face images without eyeglass. More details are presented in paper Face Synthesis for Eyeglass-Robust Face Recognition.

Name Dataset type Link
MeGlass_120x120.zip Cropped Google Drive or Baidu Yun, 335.8M
MeGlass_ori.zip Origin Baidu Yun, 13.3G

Dataset description

meta.txt contains the eyeglass labels of images. 1 means black-eyeglass, 0 means no-eyeglass.

MeGlass_120x120.zip consists of the cropped images of size 120x120.

MeGlass_ori.zip contains the original face images.

test directory contains four lists corresponding to the four protocols in paper.

Dataset Identity Images Black-eyeglass No-eyeglass
MeGlass 1,710 47,917 14,832 33,085
Testing set 1,710 6,840 3,420 3,420

Samples

Dataset usages

To build this dataset, we use eyeglass classifier, powerful face recognition model and manual labor to keep right the person identity and black eyeglass attribute. Therefore, MeGlass dataset can be used for face recognition (identification and verification), eyeglass detection, removal, generation tasks and so on.

Identity parsing rule

Take one filename 10032527@N08_identity_4@2897031059_1.jpg for example, the string before the second @ makes one face image's identity. The naming rule is corresponding to the original MegaFace dataset.

Acknowledgement

The 3D face model fitting is based on Xiangyu Zhu's work.

Citation

If your research benefits from MeGlass, please cite it as

@article{guo2018face,
  title={Face Synthesis for Eyeglass-Robust Face Recognition},
  author={Guo, Jianzhu and Zhu, Xiangyu and Lei, Zhen and Li, Stan Z},
  journal={arXiv preprint arXiv:1806.01196},
  year={2018}
}

About

An eyeglass face dataset collected and cleaned for face recognition evaluation, CCBR 2018.

Topics

Resources

License

Releases

No releases published

Packages

No packages published