the300w_lp

• Description:

300W-LP Dataset is expanded from 300W, which standardises multiple alignment databases with 68 landmarks, including AFW, LFPW, HELEN, IBUG and XM2VTS. With 300W, 300W-LP adopt the proposed face profiling to generate 61,225 samples across large poses (1,786 from IBUG, 5,207 from AFW, 16,556 from LFPW and 37,676 from HELEN, XM2VTS is not used).

The dataset can be employed as the training set for the following computer vision tasks: face attribute recognition and landmark (or facial part) localization.

• Homepage: http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm

• Source code: tfds.datasets.the300w_lp.Builder

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 2.63 GiB

• Dataset size: 1.33 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'train'	61,225

• Feature structure:

FeaturesDict({
    'color_params': Tensor(shape=(7,), dtype=float32),
    'exp_params': Tensor(shape=(29,), dtype=float32),
    'illum_params': Tensor(shape=(10,), dtype=float32),
    'image': Image(shape=(450, 450, 3), dtype=uint8),
    'landmarks_2d': Tensor(shape=(68, 2), dtype=float32),
    'landmarks_3d': Tensor(shape=(68, 2), dtype=float32),
    'landmarks_origin': Tensor(shape=(68, 2), dtype=float32),
    'pose_params': Tensor(shape=(7,), dtype=float32),
    'roi': Tensor(shape=(4,), dtype=float32),
    'shape_params': Tensor(shape=(199,), dtype=float32),
    'tex_params': Tensor(shape=(199,), dtype=float32),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
color_params	Tensor	(7,)	float32
exp_params	Tensor	(29,)	float32
illum_params	Tensor	(10,)	float32
image	Image	(450, 450, 3)	uint8
landmarks_2d	Tensor	(68, 2)	float32
landmarks_3d	Tensor	(68, 2)	float32
landmarks_origin	Tensor	(68, 2)	float32
pose_params	Tensor	(7,)	float32
roi	Tensor	(4,)	float32
shape_params	Tensor	(199,)	float32
tex_params	Tensor	(199,)	float32

• Supervised keys (See as_supervised doc): None

• Figure (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}
}