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AFLW2000-3D

AFLW2000-3D

AFLW2000-3D

AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is used for evaluation of 3D facial landmark detection models. The head poses are very diverse and often hard to be detected by a CNN-based face detector.

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Institute of Automation, Chinese Academy of Sciences
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Task
Face Keypoint Estimation
Annotation Types
Semantic Segmentation
2000
Items
3
Classes
2000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown