工具使用与未使用状态数据集

该数据为各类工具在使用与未使用状态下的标注信息集合，涵盖手动工具、电动工具、气动工具等 20 + 类常用工具的状态样本。通过高精度图像采集与传感器数据监测，记录工具的形态特征（如是否手持、是否运动）、运行参数（如电流、振动）等，用于训练工具状态识别模型区分使用与未使用状态，确保模型在复杂场景下均能准确判断工具状态，为智能制造、仓库管理、作业安全监控等场景提供数据支撑。

This dataset is a collection of annotated information for various tools under both active and inactive states, covering state samples of over 20 categories of common tools including manual, electric, and pneumatic tools. Collected via high-precision image acquisition and sensor data monitoring, it records the morphological characteristics of tools (e.g., whether being held, whether in motion) and operating parameters such as current and vibration. It is designed to train tool state recognition models to distinguish between active and inactive states, ensuring that the models can accurately judge tool states across complex scenarios, and provides data support for applications including intelligent manufacturing, warehouse management, and workplace safety monitoring.