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metadata
license: mit
metrics:
  - recall
pipeline_tag: video-classification

Static and dynamic facial emotion recognition using the Emo-AffectNet model

PWC

test_4_AffWild2 test_2_AffWild2 test_3_AffWild2

This is Emo-AffectNet model for facial emotion recognition by videos / images.

To see the emotion detected by webcam, you should run rub_webcam. Webcam result:

result

For more information see GitHub.

Citation

If you are using EMO-AffectNet model in your research, please consider to cite research paper. Here is an example of BibTeX entry:

@article{RYUMINA2022,
  title        = {In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study},
  author       = {Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov},
  journal      = {Neurocomputing},
  year         = {2022},
  doi          = {10.1016/j.neucom.2022.10.013},
  url          = {https://www.sciencedirect.com/science/article/pii/S0925231222012656},
}