工具姿态标注数据集

该数据为工业工具在不同姿态下的标注图像集合，涵盖螺栓、轴承、齿轮等 20 + 类常用工具的多姿态样本。通过高精度图像采集与姿态信息标注，记录工具的旋转角度（如绕 X/Y/Z 轴旋转角度）、摆放方向（如正向、侧向、倒置）等参数，用于训练工具姿态检测模型识别工具在各种姿态下的特征，确保模型在任意姿态下均能准确检测和识别工具，为工业机器人抓取、自动化装配等场景提供数据支撑。

This dataset is a collection of annotated images of industrial tools in various poses, including multi-pose samples of over 20 categories of common tools such as bolts, bearings, and gears. Collected through high-precision image acquisition and pose annotation, it records parameters including the rotation angles of the tools (e.g., rotation angles around the X/Y/Z axes) and placement orientations (e.g., front-facing, side-facing, upside-down). It is used to train tool pose detection models to recognize the features of tools under various poses, ensuring that the model can accurately detect and identify tools regardless of their poses, and providing data support for scenarios such as industrial robot grasping and automated assembly.