XAILab-CyberSpark/Cabin-Human-ABNORMAL-Behavior-Dataset

「CyberData塞塔」智能座舱用户行为数据集是一个专为加速智能座舱感知算法开发而设计的高质量、程序化生成的图像数据集。它通过合成方式生成，包含5000张高保真座舱内用户行为图像，每张图像都附带100%精确的标注信息。数据集覆盖了43个行为类别，分为训练集和测试集，共计4300条数据。

The "CyberData Setta" Intelligent Cockpit User Behavior Dataset is a high-quality, programmatically generated image dataset designed to accelerate the development of intelligent cockpit perception algorithms. It is generated through synthesis to address privacy risks, high costs, and insufficient long-tail scenario coverage in real-world data collection. The dataset includes 5,000 high-fidelity images of user behaviors inside cockpits, each with 100% accurate annotation information. It covers 43 behavior categories and is divided into training and test sets, totaling 4,300 data entries.