- Description:
AFLW2000-3D is a dataset of 2000 images that have been annotated with image-level 68-point 3D facial landmarks. This dataset is typically 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. The 2D landmarks are skipped in this dataset, since some of the data are not consistent to 21 points, as the original paper mentioned.
Additional Documentation: Explore on Papers With Code
Homepage: http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm
Source code:
tfds.datasets.aflw2k3d.BuilderVersions:
1.0.0(default): No release notes.
Download size:
83.36 MiBDataset size:
42.48 MiBAuto-cached (documentation): Yes
Splits:
| Split | Examples |
|---|---|
'train' |
2,000 |
- Feature structure:
FeaturesDict({
'image': Image(shape=(450, 450, 3), dtype=uint8),
'landmarks_68_3d_xy_normalized': Tensor(shape=(68, 2), dtype=float32),
'landmarks_68_3d_z': Tensor(shape=(68, 1), dtype=float32),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| FeaturesDict | ||||
| image | Image | (450, 450, 3) | uint8 | |
| landmarks_68_3d_xy_normalized | Tensor | (68, 2) | float32 | |
| landmarks_68_3d_z | Tensor | (68, 1) | float32 |
Supervised keys (See
as_superviseddoc):NoneFigure (tfds.show_examples):
- Examples (tfds.as_dataframe):
- Citation:
@article{DBLP:journals/corr/ZhuLLSL15,
author = {Xiangyu Zhu and
Zhen Lei and
Xiaoming Liu and
Hailin Shi and
Stan Z. Li},
title = {Face Alignment Across Large Poses: {A} 3D Solution},
journal = {CoRR},
volume = {abs/1511.07212},
year = {2015},
url = {http://arxiv.org/abs/1511.07212},
archivePrefix = {arXiv},
eprint = {1511.07212},
timestamp = {Mon, 13 Aug 2018 16:48:23 +0200},
biburl = {https://dblp.org/rec/bib/journals/corr/ZhuLLSL15},
bibsource = {dblp computer science bibliography, https://dblp.org}
}