MM-Vet v2

The MM-Vet v2 is an advanced multimodal verification model designed to enhance the accuracy and reliability of computer vision systems. By integrating multiple data sources and modal information, this model achieves deep verification and analysis of visual content, effectively addressing uncertainties and errors present in single-modal verification. It is widely applied in areas such as image recognition, video surveillance, and content moderation, significantly improving the robustness and security of the systems.