Facial_data

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.