AIRC-SMARTCLASS: A Multi-Modal Classroom Dataset for Automatically Controlling Devices in Smart Classroom Part 1

The AIRC-SMARTCLASS is a multi-modal, multi-task dataset designed for AIoT applications and automated environmental device control in intelligent educational environments. Collected at the Computer Laboratory, Information Technology - Library Center of the University of Transport Technology in Hanoi, Vietnam, the dataset captures real-world classroom interactions among 249 participants (5 lecturers and 244 students). The visual recordings were acquired using a single wall-mounted, wide-angle surveillance camera installed at ceiling height to provide a top-down longitudinal perspective. In total, the collection contains 45 original video clips in .avi formats, from which 12,429 Full-HD (1920 x 1080) image frames were sampled at a rate of 1 frame per 3 seconds. To support multi-task deep learning research, the dataset provides standardized annotations in YOLO Ultralytics Detection(.txt) formats, generated through semi-automated labeling in CVAT and manually verified by experts. These annotations span three core computer vision tasks: people counting with 230,409 full-body bounding boxes, face detection and identification with 62,001 face bounding boxes, and air conditioner screen with 12,429 localized display bounding boxes structured to extract operational state fields including STATUS, TEMP, MODE, and FAN.AIRC-SMARTCLASS 是一款面向智能教育环境中人工智能物联网（AIoT）应用与环境设备自动化控制的多模态多任务数据集。该数据集采集于越南河内交通科技大学信息技术-图书馆中心计算机实验室，记录了249名参与者（含5名讲师与244名学生）的真实课堂交互场景。视觉录制环节采用一台安装于天花板高度的壁挂式广角监控摄像头，以获取自上而下的纵向拍摄视角。数据集共包含45段.avi格式的原始视频片段，随后以每3秒1帧的采样率从中提取得到12429帧全高清（1920×1080）图像帧。为支持多任务深度学习研究，该数据集提供了符合YOLO Ultralytics Detection（.txt）格式的标准化标注文件，此类标注通过CVAT半自动标注工具生成并经专家人工核验。该标注覆盖三项核心计算机视觉任务：一是人员计数任务，包含230409个全身边界框；二是人脸检测与识别任务，包含62001个人脸边界框；三是空调屏幕检测任务，包含12429个本地化显示屏边界框，用于提取包括运行状态（STATUS）、温度（TEMP）、工作模式（MODE）与风扇参数（FAN）在内的运行状态字段。