MenpoBenchmark
Multi-pose 2D and 3D Face Alignment and Tracking
The face boxes and five facial landmarks within the annotation files are predicted by our face detector (RetinaFace), which achieves state-of-the-art performance on the WiderFace dataset. We have released this face detector, thus the face alignment algorithms can be tested from scratch under in-the-wild environment.
2D Face Alignment
Dataset Download Links
Menpo2D Google Drive
300W Google Drive
COFW Google Drive
MultiPIE Google Drive
XM2VTS Google Drive
FRGC Google Drive
Landmark Configuration
68/39 landmarks (The landmark configurations are from MultiPIE.)
Image Training Datasets
(1) 300W/Train (68; 3702)
(2) Menpo2D/Train/image/semifrontal (68; 6653)
(3) Menpo2D/Train/image/profile (39; 2290)
Image Test Datasets
(1) 300W/Validation (68; 135)
(2) COFW (68; 507)
(3) 300W/Test (68; 600)
(4) Menpo2D/Test/image/semifrontal (68; 5335)
(5) Menpo2D/Test/image/profile (39; 1946)
Video Training Datasets
(1) 300VW
Video Test Datasets
(1) 300VW
3D Face Alignment
Landmark Configuration
84 landmarks
Image Training Datasets
Image Test Datasets
Video Training Datasets
Video Test Datasets
Citation
IBUG just provides the landmark annotations, but some face images are from other works. Please cite the original papers first and follow their data license.
@inproceedings{deng2020retinaface,
title={Retinaface: Single-shot multi-level face localisation in the wild},
author={Deng, Jiankang and Guo, Jia and Ververas, Evangelos and Kotsia, Irene and Zafeiriou, Stefanos},
booktitle={Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}
@article{deng2019menpo,
title={The menpo benchmark for multi-pose 2d and 3d facial landmark localisation and tracking},
author={Deng, Jiankang and Roussos, Anastasios and Chrysos, Grigorios and Ververas, Evangelos and Kotsia, Irene and Shen, Jie and Zafeiriou, Stefanos},
journal={International Journal of Computer Vision},
volume={127},
number={6},
pages={599--624},
year={2019},
publisher={Springer}
}
@inproceedings{zafeiriou2017menpo2d,
title={The menpo facial landmark localisation challenge: A step towards the solution},
author={Zafeiriou, Stefanos and Trigeorgis, George and Chrysos, Grigorios and Deng, Jiankang and Shen, Jie},
booktitle={Computer Vision and Pattern Recognition (CVPR) Workshops},
year={2017}
}
@inproceedings{zafeiriou2017menpo3d,
title={The 3d menpo facial landmark tracking challenge},
author={Zafeiriou, Stefanos and Chrysos, Grigorios and Roussos, Anastasios and Ververas, Evangelos and Deng, Jiankang and Trigeorgis, George},
booktitle={International Conference on Computer Vision (ICCV) Workshops},
year={2017}
}