Launch: Use YOLO11 with Roboflow

The article announces the integration of YOLO11 with Roboflow, detailing how users can convert data formats, train, deploy, and utilize YOLO11 models through various features on the platform. Roboflow supports format conversion to the YOLO11 PyTorch TXT format, enabling data labeling and export for training purposes using tools like SAM-powered annotation and auto-labeling. Users can train YOLO11 models on Roboflow's platform by selecting model types and training checkpoints, with deployment options available via the Roboflow cloud REST API or on-device with Roboflow Inference. The guide also covers the creation of complex computer vision workflows using YOLO11 models in Roboflow Workflows, allowing users to build, test, and deploy multi-step applications. YOLO11, developed by Ultralytics, is highlighted as a new model architecture, with the article serving as a resource for effectively leveraging its capabilities in computer vision projects.