https://github.com/jd-opensource/lapa-dataset

A large-scale dataset for face parsing (AAAI2020)
https://github.com/jd-opensource/lapa-dataset

dataset face-landmark face-manipulation face-parsing semantic-segmentation

Last synced: 5 days ago
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A large-scale dataset for face parsing (AAAI2020)

• Host: GitHub
• URL: https://github.com/jd-opensource/lapa-dataset
• Owner: jd-opensource
• License: other
• Created: 2019-11-19T09:04:20.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-07-29T02:38:41.000Z (4 months ago)
• Last Synced: 2024-07-29T03:58:22.480Z (4 months ago)
• Topics: dataset, face-landmark, face-manipulation, face-parsing, semantic-segmentation
• Homepage:
• Size: 1.22 MB
• Stars: 284
• Watchers: 9
• Forks: 35
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        

# LaPa-Dataset for face parsing

## Introduction

we develop a high-efficiency framework for pixel-level face parsing annotating and construct a new large-scale **La**ndmark guided face **Pa**rsing dataset (LaPa) for face parsing. It consists of more than 22,000 facial images with abundant variations in expression, pose and occlusion, and each image of LaPa is provided with a 11-category pixel-level label map and 106-point landmarks.



Fig. 1: Annotation examples of the proposed LaPa dataset.

## Download

[Google Drive](https://drive.google.com/file/d/1XOBoRGSraP50_pS1YPB8_i8Wmw_5L-NG/view?usp=sharing)

[Baidu Netdisk](https://pan.baidu.com/s/10GDmsmJJ28ugEJzj5Mu9gQ) code: LaPa

## Citation

If you use our datasets, please cite the following paper:

[A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing.](https://aaai.org/ojs/index.php/AAAI/article/view/6832/6686) Yinglu Liu, Hailin Shi, Hao Shen, Yue Si, Xiaobo Wang, Tao Mei. In AAAI, 2020.

```

@inproceedings{liu2020new,  

  title={A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing.},  

  author={Liu, Yinglu and Shi, Hailin and Shen, Hao and Si, Yue and Wang, Xiaobo and Mei, Tao},  

  booktitle={AAAI},  

  pages={11637--11644},  

  year={2020}  

}

```

## License

This LaPa Dataset is made freely available to academic and non-academic entities for non-commercial purposes such as academic research, teaching, scientific publications, or personal experimentation. Permission is granted to use the data given that you agree to our license terms.

## Paper

[A New Dataset and Boundary-Attention Semantic Segmentation for Face Parsing.](https://aaai.org/ojs/index.php/AAAI/article/view/6832/6686)