Ultralytics YOLO11 models
Build fast and accurate real-time vision AI with a proven model family designed for efficient training, deployment, and a wide range of computer vision tasks.
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Why choose Ultralytics YOLO11?
YOLO11 combines accuracy, speed, and efficient model design with the familiar Ultralytics developer experience.
Efficient by design
Real-time performance
Ready to deploy
One model family for core vision tasks
Use a consistent Ultralytics workflow across five production-ready computer vision tasks.
Object detection
Instance segmentation
Image classification
Pose estimation
Oriented object detection
From dataset to deployment
Move from an idea to production with open-source tools and Ultralytics Platform.
Prepare your data
Train and validate
Export and deploy
Frequently asked questions
Ultralytics YOLO11 is a computer vision model family designed for real-time object detection and related vision tasks, including segmentation, classification, pose estimation, and oriented object detection.
Start with YOLO11n when latency and model size matter most. Move through YOLO11s, YOLO11m, YOLO11l, and YOLO11x when your application benefits from additional accuracy and has more compute available.
YOLO11 remains a supported and proven model family. Ultralytics YOLO26 is the latest generation and the recommended starting point for new projects.
Get started with Ultralytics YOLO11
Train, validate, export, and deploy YOLO11 models with Ultralytics Platform.