SCB-Dataset: A Dataset for Detecting Student and Teacher Classroom Behavior

This paper presents SCB-Dataset, a comprehensive computer vision dataset of 13,330 images with 122,977 labels for detecting 19 classes of student and teacher classroom behaviors using object detection and image classification methods. The dataset enables automatic analysis of classroom performance by detecting behaviors like hand-raising, listening, reading, teaching, and student-teacher interactions.

Using deep learning methods to detect the classroom behaviors of both students and teachers is an effective way to automatically analyze classroom performance and enhance teaching effectiveness. Then, there is still a scarcity of publicly available high-quality datasets on student-teacher behaviors. We constructed SCB-Dataset a comprehensive dataset of student and teacher classroom behaviors covering 19 classes. SCB-Dataset is divided into two types: Object Detection and Image Classification. Th

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