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LS3D-W

A large-scale 3D face alignment dataset

LS3D-W

LS3D-W is a large-scale 3D face alignment dataset constructed by annotating the images from AFLW[2], 300VW[3], 300W[4] and FDDB[5] in a consistent manner with 68 points using the automatic method described in [1]. To gain access to the dataset please enter your email address in the following form. You will shortly receive an email at the specified address containing the download link. If you encounter any issue please contact us at adrian.bulat@nottingham.ac.ukReferences:[1] A. Bulat, G. Tzimiropoulos. How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks), arxiv, 2017 [2] M. Kostinger, P. Wohlhart, P.M. Roth, and H. Bischof. Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization, In ICCVW, 2011 [3] J. Shen, S. Zafeiriou, G. G. Chrysos, J. Kossaifi, G. Tzimiropoulos, and M. Pantic. The first facial landmark tracking in-the-wild challenge: Benchmark and results. In ICCVW, 2015 [4] C. Sagonas, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 300 faces in-the-wild challenge: The first facial landmark localization challenge. In ICCVW, 2013 [5] V. Jain, E. Learned-Miller FDDB: A Benchmark for Face Detection in Unconstrained Settings. UMass Amherst Technical Report, 2010

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Samsung AI Cambridge
https://research.samsung.com/aicenter_cambridge
Task
Face Alignment
Annotation Types
Keypoint Skeleton
230000
Items
68
Classes
230000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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