Ranked First! Baidu Intelligent Cloud's Yijian Leads the Visual Large Model Track

　　International Data Corporation (IDC) recently released the "2025 Visual Large Model Capability and Application Evaluation Report." This report provides a comprehensive and in-depth evaluation of visual large model vendors in the Chinese market. Baidu stood out among numerous competitors and was crowned with the highest overall score. As the core product in Baidu's visual large model field, the Baidu Intelligent Cloud Yijian Visual Large Model Platform has significant advantages in platform capability, algorithm models, engineering implementation capability, and industry coverage, leading the visual large model track.

　　In the era of small models, the development cost of visual AI skills was high, and enterprises faced the dilemmas of "cannot develop," "cannot afford," and "hard to replicate" during the implementation of visual intelligence applications. With breakthroughs in multimodal large model technology, a vast number of visual inspection needs in enterprise production processes—such as safety, compliance, and quality control—are being activated. The concept of vision-based management digitalization is gradually gaining recognition.

　　Large models are reconstructing visual intelligence. Yijian, upgraded based on the ERNIE 4.5 native multimodal large model and the ERNIE X1 deep thinking model, makes professional-grade visual AI applications go from "out of reach" to "accessible to everyone." As a multimodal visual management platform, Yijian provides full-stack capabilities from visual AI skill production, effect tuning, to application. It supports "generating professional-grade visual AI applications with a single sentence" and flexibly matches business processes through visual skill orchestration, helping enterprises achieve all-visual management digitalization with low cost and low barriers.

　　Currently, Yijian has been implemented in more than 20 industries, including catering chains, steel, power, mining, ports, railways, chemicals, water utilities, and public security, serving hundreds of leading customers. It escorts all aspects of enterprise production operations and helps enterprises achieve all-visual management digitalization.

　　Taking "managing safety" as an example, the centralized safety production control system built by Yijian for a certain wind power group covers nearly 300 wind farms and turbines across the country. It identifies irregular employee operations and equipment abnormalities in real-time, improving centralized control personnel efficiency by over 300%, compressing hazard response time from hours to minutes, and increasing inspection efficiency by 6-10 times, building a "smart defense line" for energy security.

　　Another example is "managing quality." In the field of metallurgical materials, the metallographic analysis large model jointly developed by Yijian and the China Iron and Steel Research Institute Group (CISRI) upgrades the traditional manual inspection method to AI automated analysis. Its 95% segmentation accuracy (a core metric in metallographic analysis) not only solves the pain points of "high missed detection rate and low efficiency" in traditional testing but also transforms metallurgical quality inspection, which once relied on the experience of veteran masters, into an intelligent process that can be standardized and replicated.