SCB-dataset: A Dataset for Detecting Student Classroom Behavior

• URL: http://arxiv.org/abs/2304.02488v2
• Date: Fri, 26 Jul 2024 13:31:21 GMT
• Title: SCB-dataset: A Dataset for Detecting Student Classroom Behavior
• Authors: Fan Yang,
• Abstract summary: Student Classroom Behavior dataset (SCB-dataset) includes 11,248 labels and 4,003 images. Our dataset includes 11,248 labels and 4,003 images, with a focus on hand-raising behavior. We evaluated the dataset using the YOLOv7 algorithm, achieving a mean average precision (map) of up to 85.3%.
• Score: 3.6119958671506707
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The use of deep learning methods for automatic detection of students' classroom behavior is a promising approach to analyze their class performance and enhance teaching effectiveness. However, the lack of publicly available datasets on student behavior poses a challenge for researchers in this field. To address this issue, we propose a Student Classroom Behavior dataset (SCB-dataset) that reflects real-life scenarios. Our dataset includes 11,248 labels and 4,003 images, with a focus on hand-raising behavior. We evaluated the dataset using the YOLOv7 algorithm, achieving a mean average precision (map) of up to 85.3%. We believe that our dataset can serve as a robust foundation for future research in the field of student behavior detection and promote further advancements in this area.Our SCB-dataset can be downloaded from: https://github.com/Whiffe/SCB-dataset

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