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Jasonss/DEEMO

DEEMO: De-identity Multimodal Emotion Recognition and Reasoning DEEMO is a dataset for emotion recognition and reasoning from de-identified video and audio. Faces are blurred and voices are de-identified, so models must rely on identity-free cues such as non-facial body language, speech content, vocal cues, and context rather than facial expressions or speaker identity. The clips come from post-match press conferences and interviews of professional athletes, mostly tennis… See the full description on the dataset page: https://huggingface.co/datasets/Jasonss/DEEMO.

Author / organizationJasonss
License (as declared)other
Downloads0 (as reported by Hugging Face)
Likes0
Created16 October 2026
Last updated at source16 October 2026
emotion-recognitionmultimodalbody-languagede-identificationprivacy
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