Facial_data

Published: 17 September 2024| Version 1 | DOI: 10.17632/6dbdkb8g3d.1
Contributors:
Haoming Wang, Chengliang Wang

Description

This dataset is a facial expression dataset based on real classroom environments, consisting of 5,527 images labeled with five emotion categories: surprise, happiness, neutrality, confusion, and boredom. The data has been preprocessed using OpenCV and divided into training, validation, and test sets. This dataset provides a valuable resource for emotion recognition and personalized teaching, and future model performance can be further optimized through data augmentation techniques.

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Categories

Education, Facial Recognition, Computer

Licence