"TEA-FER"

"The TEA-FER Dataset is designed to advance research on teacher emotion recognition in authentic educational settings. It contains facial expression data corresponding to seven basic emotion categories\u2014anger, disgust, fear, happiness, neutral, sadness, and surprise\u2014collected from selected teachers using an emoji guided data acquisition approach. The dataset aims to foster interdisciplinary research at the intersection of computer vision, educational technology, and teacher professional development, ultimately contributing to the enhancement of teaching quality."