<- Back to Datasets

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.

View this Dataset
->
Institute of Automation, Chinese Academy of Sciences
http://english.ia.cas.cn
2000
Items
3
Classes
2000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
Label your own datasets on V7
Try our trial or talk to one of our experts.
Start 14 Day Trial
->
Explore Datasets
->