Research and Development of Machine Vision Algorithm Performance Evaluation System in Complex Scenes

Abstract In recent years, deep learning technology has gained widespread attention and been successfully applied in various applications, including machine vision for automatic driving. However, one of the major challenges this field is ability AI models to perform well complex scenes with varying weather conditions lighting conditions. The proposed scheme uses VR simulate different evaluate performance products such scenes. To further enhance generalization capabilities models, Software Development Kit updated scene data configurable parameters, training typical characteristics according tasks. This approach potential significantly improve accuracy reliability systems driving, ultimately enhancing their safety effectiveness.