Ultralytics YOLO models
Power vision AI solutions with Ultralytics YOLO models, enabling fast and accurate real-time analysis of images and videos through efficient computer vision tasks.
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Try YOLO26 inference
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Our models' impact
Streamline processes across industries with our cutting-edge vision AI models. Speed, accuracy and ease-of-use powered by Ultralytics.
The evolution of YOLO models
From the original YOLO architecture to Ultralytics YOLO26, the model family has continued to improve real-time computer vision workflows.
Ultralytics YOLO models at a glance
Compare recent Ultralytics YOLO model families across speed, accuracy, and supported vision tasks.
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Why choose Ultralytics YOLO?
Optimized for edge and cloud deployment
Seamless integration with built-in security
Clear licensing and compliance
Backed by a global community
State-of-the-art accuracy and efficiency
What our clients say
Ultralytics YOLO models helped us boost our AI service implementation speed by 25.2%. They are easy to deploy and provide excellent real-world performance, delivering greater speed, accuracy, and scalability without compromising operational performance.
Of all the models we evaluated, YOLO was by far the fastest for our use cases.
Ultralytics YOLO26 runs seamlessly on Axelera's platform, enabling faster edge AI deployment with minimal integration effort. This is exactly the kind of hardware-software collaboration that helps customers move from development to production faster.
Alexis Crowell, Global CMO & GM of the Americas
With Ultralytics YOLOv8 nano, we can retrain on the edge and ship a new model in hours instead of weeks, transferring a fraction of the data. That combination of accuracy and a tiny footprint is exactly what our environments need.
We make computer vision-enabled robots to pick and place ingredients on food production lines. Robotic manipulation demands below-centimeter precision, and Ultralytics YOLO models are great at providing that level of accuracy.
The performance of Ultralytics YOLO models on our STM32 microcontrollers opens up new horizons for computer vision at the edge. With streamlined integration and support for multiple model variants, developers have exactly what they need to build scalable and responsive embedded vision solutions.
They transform visual data into actionable insights with exceptional accuracy and efficiency. By combining Ultralytics YOLOv8 with the IMX500 sensor from SSS (Sony Semiconductor Solutions Corporation), this partnership brings powerful, on-device AI capabilities that enhance real-time decision-making for businesses relying on high-performance visual data processing.
Wei Tang, Business Development Manager
Ultralytics' YOLO models are game-changers in the AI industry. The YOLOv5 and YOLOv8 models are favored by developers for their ease of use, state-of-the-art performance, and accuracy. Paired with OpenVINO, these models offer the potential for the best out-of-the-box performance on modern CPUs.
See our models in action
Frequently asked questions
The different Ultralytics YOLO26 variants are YOLO26n, YOLO26s, YOLO26m, YOLO26l, and YOLO26x. They come in different sizes to offer a balance between speed and accuracy for various uses.
The Ultralytics Python package provides easy access to Ultralytics YOLO models, making it possible for developers to train, validate, and deploy computer vision tasks like object detection and segmentation within Python projects.
The best Ultralytics YOLO model for your use case depends on your needs. The latest Ultralytics YOLO26 model offers the latest improvements in accuracy, speed, and multi-task support.
Ultralytics YOLO includes the latest YOLO26 model family, along with earlier YOLO model families for existing workflows. YOLO models support multiple vision tasks, including object detection, segmentation, classification, pose estimation, and oriented object detection for versatile AI applications.
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