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FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

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FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos <br> Yan Wang ¹, Yixuan Sun ¹, Yiwen Huang ², Zhongying Liu ², Shuyong Gao ², Wei Zhang ² <br>, Weifeng Ge ², Wenqiang Zhang ^{1, 2}

¹ Academy for Engineering & Technology, Fudan University ² School of Computer Science, Fudan University <br>

News!

• 08/2022: Notice!

  Letter to researchers:
      
      Thank you for your attention in the FERV39k dataset.
      We have released the FERV39k dataset. 
    
    With kind regards,
    Group FERV39K
    
  

• 03/2022: The Paper FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos is accepted by CVPR 2022.

  <!-- Since the arxiv version of our CVPR paper is available, we are glad to receive several application emails of FERV39K. However, our work especially the dataset is still under the check of the CVPR conference and the formal version of paper is not published. As a result, the dataset will not be available until the main conference of CVPR2022 is held. During this time, we will gradually make the project webpage, the baseline project and the FERV39K shortcut publicly available.-->

Model Zoo

Terms & Conditions

• The dataset is available for non-commercial research purposes only.
• All images of the dataset are obtained from the Internet and some papers which are not property of fudanroilab, Fudan University. The fudanroilab is not responsible for the content nor the meaning of these images.
• You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purposes, any portion of the images and any portion of derived data.
• You agree not to further copy, publish or distribute any portion of the fudanroilab. Except, for internal use at a single site within the same organization it is allowed to make copies of the dataset.
• The SOL reserves the right to terminate your access to the fudanroilab at any time.

How to get the Password (<u>Dataset applications can be available</u>)

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

1. Baidu Drive: (Available after we receive the email of application to download the FERV39k Dataset

• (FERV39k) Download Link (链接): xxxx (Expiration date is 30 days)
• Extract Code(提取码)： xxxx

2. Google Drive:

• Download Link (FERV39k) : xxxx (Can be available soon due to the upload capacity limit)

Permission to use but not reproduce or distribute our database is granted to all researchers given that the following steps are properly followed: Send an e-mail to Yan Wang (yanwang19@fudan.edu.cn) and Wenqiang Zhang (wqzhang@fudan.edu.cn) before downloading the dataset. You will need a password to access the files of this dataset. Your Email MUST be set from a valid University account and MUST include the following text:

1. Subject: (fudanroilab) Application to download the FERV39k Dataset          
2. Name: <your first and last name>
3. Affiliation: <University where you work>
4. Department: <your department>
5. Position: <your job title>
6. Email: <must be the email at the above mentioned institution>

I have read and agree to the terms and conditions specified in the FERV39K database webpage. 
This database will only be used for research purposes. 
I will not make any part of this database available to a third party. 
I'll not sell any part of this database or make any profit from its use.

Citation

@inproceedings{wang2022ferv39k,
  title={FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos},
  author={Wang, Yan and Sun, Yixuan and Huang, Yiwen and Liu, Zhongying and Gao, Shuyong and Zhang, Wei and Ge, Weifeng and Zhang, Wenqiang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={20922--20931},
  year={2022}
}