IFEED: Interactive Facial Expression and Emotion Detection Dataset
DOI10.5281/zenodo.7971730Zenodo7971730MaRDI QIDQ6699912
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 23 May 2023
Copyright license: No records found.
Interactive Facial Expression and Emotion Detection (IFEED) is an annotated dataset that canbe used totrain, validate, and test Deep Learningmodels for facial expression andemotion recognition.It contains pre-filtered and analysed images of the interactions between the six main characters of the Friends television series, obtained from the video recordings of the Multimodal EmotionLines Dataset (MELD). The images were obtained by decomposing the videos into multiple frames and extracting the facial expression of the correctly identified characters. Ateam composed of 14 researchersmanually verified and annotated the processed data into several classes: Angry, Sad, Happy, Fearful, Disgusted, Surprised and Neutral. IFEED can be valuable for the development ofintelligent facial expression recognition solutions and emotion detection software, enabling binary or multi-class classification, or even anomaly detection or clustering tasks. The images with ambiguous or very subtle facial expressions can be repurposed for adversarial learning. The dataset canbe combined with additional data recordings to create more complete and extensive datasets and improve the generalization of robust deep learningmodels.
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