CBC TEST

The CBC TEST is a comprehensive evaluation method designed for computer vision systems, aiming to verify the recognition accuracy, robustness, and real-time performance of these systems under complex conditions through multi-dimensional testing. This testing approach combines static image and dynamic video datasets, covering a variety of scenarios and conditions to ensure that computer vision technologies are highly reliable and effective in practical applications. The application value of the CBC TEST lies in providing detailed performance analysis for developers, helping to optimize algorithms and enhance system performance in fields such as security surveillance, autonomous driving, and medical imaging.