English

FindingEmo: An Image Dataset for Emotion Recognition in the Wild

Computer Vision and Pattern Recognition 2024-06-06 v2 Artificial Intelligence

Abstract

We introduce FindingEmo, a new image dataset containing annotations for 25k images, specifically tailored to Emotion Recognition. Contrary to existing datasets, it focuses on complex scenes depicting multiple people in various naturalistic, social settings, with images being annotated as a whole, thereby going beyond the traditional focus on faces or single individuals. Annotated dimensions include Valence, Arousal and Emotion label, with annotations gathered using Prolific. Together with the annotations, we release the list of URLs pointing to the original images, as well as all associated source code.

Keywords

Cite

@article{arxiv.2402.01355,
  title  = {FindingEmo: An Image Dataset for Emotion Recognition in the Wild},
  author = {Laurent Mertens and Elahe' Yargholi and Hans Op de Beeck and Jan Van den Stock and Joost Vennekens},
  journal= {arXiv preprint arXiv:2402.01355},
  year   = {2024}
}

Comments

33 pages, 21 figures, 12 tables

R2 v1 2026-06-28T14:35:46.468Z