Inference handles the core tasks of computer vision applications

Inference is a versatile platform designed to facilitate the development and deployment of computer vision applications by integrating cutting-edge models and efficiently processing video streams while optimizing CPU/GPU resources. It offers a visual workflow editor for building complex inference pipelines, enabling users to chain multiple models, including state-of-the-art foundation models like Florence-2, CLIP, and SAM2, as well as custom code integration for tailored solutions. The platform supports deployment on managed infrastructure or on-device, with API endpoints to ensure seamless connectivity and data security, and includes features like real-time event notifications, object measurement, and the automation of tasks through machine learning and computer vision techniques. Developers can explore workflow examples like model chaining pipelines, OCR, and custom business logic, supported by video tutorials that guide users in building practical applications such as AI-powered checkouts and smart parking systems. Inference provides an extensive toolkit for creating intelligent workflows, whether locally or with managed compute, offering a flexible and scalable approach to computer vision tasks.