人类的面部表现往往是以不同基本情绪的组合、混合或复合的形式出现。Real-world Affective Faces Multi Label (RAF-ML)是一个多标签的面部表情数据集，其中有大约5K张从互联网上下载的多样化的面部图像，这些图像具有混合的情绪，以及受试者的身份、头部姿势、照明条件和遮挡物的变化情况。

在注解过程中，315名训练有素的注解员被聘用，以确保每张图片都能被独立注解足够的次数。而具有多峰标签分布的图像被挑选出来，构成RAF-ML。

在RAF-ML中，我们提供了4908张具有混合情绪的真实世界图像，每张图像的6维表情分布向量，5个准确的地标位置和37个自动地标位置，以及多标签情绪识别的基线分类器输出。

For more details of the dataset, please refer to the paper "Blended Emotion in-the-wild: Multi-label Facial expression Recognition Using Crowdsourced Annotations and Deep Locality Feature Learning".

Sample Images

 

Terms & Conditions

• The RAF-ML is available for non-commercial research purposes only.

• All images of the RAF-ML are obtained from the Internet which are not property of PRIS, Beijing University of Posts and Telecommunications. The PRIS 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 RAF-ML. Except, for internal use at a single site within the same organization it is allowed to make copies of the dataset.

• The PRIS reserves the right to terminate your access to the RAF-ML at any time.

Citation

If you use the RAF-ML datatset, please cite the paper below:        

@article{DBLP:journals/ijcv/ShangD19,
  author    = {Shan Li and Weihong Deng},
  title     = {Blended Emotion in-the-Wild: Multi-label Facial expression Recognition
               Using Crowdsourced Annotations and Deep Locality Feature Learning},
  journal   = {International Journal of Computer Vision},
  volume    = {127},
  number    = {6-7},
  pages     = {884--906},
  year      = {2019}
}

Contact

Please contact Shan Li and Weihong Deng for questions about the database.