CNC Machining Center Equipment Debugging Video Dataset

In the field of industrial manufacturing, CNC machining centers are the core equipment for achieving high-efficiency and high-precision production. However, traditional manual monitoring during equipment debugging faces challenges of inefficiency and high misjudgment rates. Currently, leveraging artificial intelligence for video analysis can boost debugging efficiency, but existing datasets often lack adequate detail coverage and accuracy, making it difficult to meet the demands of complex industrial environments. This dataset provides rich video scenarios for debugging, aiming to address the needs for automated detection and analysis during the equipment debugging process. Data collection is performed using high-resolution industrial cameras in different workshop environments, covering various debugging scenarios. As for quality control, a multi-stage annotation process is adopted to ensure consistency and accuracy of the annotations, with the annotation team composed of professional engineers with an industrial background. Data preprocessing includes steps like video cropping and noise reduction enhancement to ensure clarity and usability of the data. Finally, the data is stored and organized in a layered file structure for easy retrieval and use.