/MAFW

A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild.

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MAFW

Details

MAFW is a large-scale, multi-modal, compound affective database for dynamic facial expression recognition in the wild. Clips in this database come from China, Japan, Korea, Europe, America and India, and cover various themes, e.g., variety, family, science fiction, suspense, love, comedy, and interviews, encompassing a wide range of human emotions. Each clip has been independently labeled 11 times by 11 well-trained annotators. MAFW database has enormous diversities, large quantities, and rich annotations, including:

  • 10,045 number of video clips from movies, TV dramas, and short videos,
  • a 11-dimensional expression distribution vector for each video clip,
  • three kinds of annotations: (1) single expression label; (2) multiple expression label; (3) bilingual emotional descriptive text,
  • two subsets: single-expression set, including 11 classes of single emotions; multiple-expression set, including 32 classes of multiple emotions,
  • three automatic annotations: the frame-level 68 facial landmarks, bounding boxes of face regions, and gender,
  • four benchmarks : uni-modal single expression classification, multi-modal single expression classification, uni-modal compound expression classification, and multi-modal compound expression classification.

Sample Video-audio Clips

1. Examples of the single expressions in MAFW

AngerEnglish: A girl with tears in her eyes shouts at the person opposite her. The deep frown,a downward pull on the lip corners,the higher inner corners of eyebrows and the lower outer corners of eyebrows.
中文:一个女生眼含着泪水大声训斥着对面的人。眉头紧蹙,嘴角下拉,眉毛内高外低。
DisgustEnglish: A woman looks nervously at her feet. The frown,the closed eyes and the open mouth.
中文:一个女人紧张的看着脚下的东西。皱眉,眼睛微闭,嘴巴张开。
FearEnglish: A girl gasps in the dark. The wide eyes and the open mouth.
中文:一个女孩在昏暗的环境中急促的喘息。瞪眼,嘴巴张大。
HappinessEnglish: A woman communicates with a man, talking about dinner. The slightly closed eyes, the open mouth and the raised lip corners.
中文:一个女人与男人交流,谈论着晚餐。眼睛微闭,嘴巴张开,嘴角上扬。
SadnessEnglish: A girl stands on the beach, tilting her head back and crying. The deep frown and the wide open mouth.
中文:一个女孩站在海边,仰着头哭泣。眉头紧蹙,嘴巴张大。
SurpriseEnglish: The woman sits with her eyes slowly widening, then suddenly shivers back and asks in a confused voice. The wide eyes.
中文:女人坐着眼睛慢慢睁大,然后突然向后颤动了一下,慌乱地询问道。瞪眼。
ContemptEnglish: A woman gives a dismissive laugh. A curl of the lips.
中文:一个女人不屑地笑了一声。撇嘴。
AnxietyEnglish: A woman can't get through to the phone and grumbles impatiently. The frown and the compressed lips.
中文:一个女人打不通电话,不耐烦地埋怨了一声。皱眉,抿嘴。
HelplessnessEnglish: A maid stands thoughtfully behind her mistress. The wide eyes and the compressed lips.
中文:一个侍女若有所思地站在女主人身后。瞪眼,抿嘴。
DisappointmentEnglish: A man lowers his head and takes a deep breath. The open mouth and the trembling lips.
中文:一个男人低下头,深呼吸。嘴巴半张,嘴唇颤抖。
Neutral-

2. Examples of the multiple expressions in MAFW

Anger
Disgust
English: A man glances his head to the side at the words of the man in front of him. The frown and a downward pull on the lip corners.
中文:一个男人听到面前的男人的话语后将头瞥向一边。皱眉,嘴角下拉。
Fear
Sadness
English: A woman squats on the ground and talks to a man tearfully. The marked frown and a downward pull on the lip corners.
中文:一个女人蹲坐在地上满含泪水的在和男人说话。皱眉,嘴角下拉。
Fear
Sadness
Anxiety
English: A woman begs someone. The marked frown, the wide eyes and the slightly open mouth.
中文:一个女人哀求着。皱眉,瞪眼,嘴巴微张。
Anger
Disgust
Contempt
English: A woman makes a condescending sarcasm at the other person. The raised chin, the raised eyebrows, the closed eyes and the frown.
中文:一个女人居高临下地挖苦对方。下巴上扬,挑眉,闭眼,皱眉。

Terms & Conditions

  • MAFW database is available for non-commercial research purposes only.
  • You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for commercial purposes, any portion of the clips, and any derived data.
  • You agree not to further copy, publish, or distribute any portion of the MAFW database. Except for internal use at a single site within the same organization, it is allowed to make copies of the dataset.

How to get the MAFW Dataset

This database is publicly available. It is free for professors and researcher scientists affiliated to a University.

Permission to use but not reproduce or distribute the MAFW database is granted to all researchers given that the following steps are properly followed:

  1. Download the MAFW-academics -final.pdf document.
  2. Read the terms and conditions carefully to make sure they are acceptable, and fill in the relevant information at the end of the document.
  3. Send the completed document to email (linw@cug.edu.cn).

Citation

Please cite our paper if you find our work useful for your research:

  • Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, and Shiguang Shan. 2022. MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild. In Proceedings of the 30th ACM International Conference on Multimedia (MM ’22), October 10–14, 2022, Lisboa, Portugal. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3503161.3548190
@inbook{liu_mafw_2022,
	author = {Liu, Yuanyuan and Dai, Wei and Feng, Chuanxu and Wang, Wenbin and Yin, Guanghao and Zeng, Jiabei and Shan, Shiguang},
	title = {MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild},
	year = {2022}
	isbn = {978-1-4503-9203-7},
	publisher = {ACM},
	address = {New York, NY, USA},
	url = {https://doi.org/10.1145/3503161.3548190},
	booktitle = {Proceedings of the 30th ACM International Conference on Multimedia (MM’22)},
	numpages = {9}
}

Content Preview

  • Data

  • Labels

  • Labels (auto)

  • Train & Test Set

For more details of the dataset, please refer to the paper: MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild.

For more details of emotional descriptive texts, please refer to supplementary materials for MAFW.

Code

The source code of our proposed T-ESFL model can be downloaded in https://github.com/MAFW-database/MAFW.

Contact

Please contact us for any questions about MAFW.

Yuanyuan LiuAssociate Professor, China University of Geosciencesliuyy@cug.edu.cn
Shaoze FengMaster, China University of Geosciences2807592236@cug.edu.cn
Lin WeiMaster, China University of Geoscienceslinw@cug.edu.cn
Guanghao YinMaster, China University of Geosciencesygh2@cug.edu.cn

For more information, welcome to visit our team's homepage: https://cvlab-liuyuanyuan.github.io/