Launch: Train and Deploy YOLO26 with Roboflow

YOLO26, released on January 14, 2026, represents the latest advancement in real-time computer vision models, optimized for edge deployment and CPU performance, and is now fully supported on the Roboflow platform for labeling, training, and deployment. This model introduces architectural changes, such as the removal of Non-Maximum Suppression for end-to-end predictions and the incorporation of the MuSGD optimizer, enhancing its speed and efficiency. Roboflow facilitates the deployment of YOLO26 models both in the cloud and on personal hardware, with a recommendation for on-device deployment for lower latency. The platform supports model training with various sizes, from Nano to Extra Large, allowing users to fine-tune models on custom datasets without complex hardware setups. Additionally, Roboflow offers comprehensive tools for data labeling, including AI-assisted features like Auto Labeling and Smart Polygon, and supports dataset export in YOLO26 format. With these capabilities, users can efficiently build, train, and deploy computer vision models tailored for both edge and cloud environments.