student behavior

针对智慧课堂场景下的学生行为分析需求，构建包含多维度课堂行为标签的目标检测数据集，适用于 YOLO 系列（YOLOv5/YOLOv8 等）目标检测模型训练，来源于真实上课场景下监控的拍摄视频，并进行抽帧和标注

This target detection dataset with multi-dimensional classroom behavior labels is developed for student behavior analysis in smart classroom scenarios. It is applicable for training target detection models of the YOLO series (e.g., YOLOv5, YOLOv8). The dataset is derived from surveillance videos captured in real classroom settings, and underwent frame extraction and annotation.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对智慧课堂场景的学生行为分析目标检测数据集，包含多维度课堂行为标签，适用于YOLO系列模型训练。数据来源于真实上课监控视频，经过抽帧和标注处理，旨在支持学生行为识别和分析任务。