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-# 数据集介绍
-  ## 简介
-   Wider Facial Landmarks in-the-wild (WFLW) 包含 10000 个人脸（7500 个用于训练，2500 个用于测试）和 98 个完全手动注释的地标。除了地标标注外，新的数据集还包括丰富的属性标注，即遮挡、姿势、化妆、照明、模糊和表达，用于对现有算法的综合分析。与之前的数据集相比，所提出的数据集中的人脸在表情、姿势和遮挡方面引入了很大的变化。 
-  ## 引文
-  
-```
-"@inproceedings{wu2018look,
-title={Look at boundary: A boundary-aware face alignment algorithm},
-author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
-booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
-pages={2129--2138},
-year={2018}
-}"
-```
-
-  ‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌
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-displayName: WFLW (Wider Facial Landmarks in the Wild)
-labelTypes:
-- Point2D
-license:
-- Unknown
-mediaTypes:
-- Image
-paperUrl: https://arxiv.org/pdf/1805.10483v1.pdf
-publishDate: "2018"
-publishUrl: https://wywu.github.io/projects/LAB/WFLW.html
-publisher:
-- Tsinghua University
-- SenseTime Research
-- Amazon
-tags:
-- Huamn Face
-- Head
-taskTypes:
-- Face Alignment
-‌​‌‌​​​​‌​​​‌‌‌‌‌​​‌‌​‌​‌​​‌​​​‌‌​‌‌‌​‌‌‌​​‌‌‌‌​‌​​​‌​‌‌‌​​‌‌‌‌​‌​‌‌​​‌‌‌​​‌‌‌‌​‌​​‌‌‌​‌
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