commit 3f22dc9b7911b1063742c0a7d26881a7297e24a3
Author: Cheng Mingwei <chengmingwei@163.com>
Date:   Wed Jul 30 09:59:01 2025 +0800

    init commit

diff --git a/WFLW/OpenDataLab___WFLW/README.md b/WFLW/OpenDataLab___WFLW/README.md
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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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diff --git a/WFLW/OpenDataLab___WFLW/metafile.yaml b/WFLW/OpenDataLab___WFLW/metafile.yaml
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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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