Power vision AI solutions with Ultralytics YOLO models, enabling fast and accurate real-time analysis of images and videos through efficient computer vision tasks.
Explore how Ultralytics YOLO models works directly in your browser.
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Ultralytics YOLO models are designed for edge & cloud deployment, bringing flexibility to your real-time vision AI projects. This means, faster and reliable results across infrastructures.
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Easily integrate Ultralytics YOLO models across platforms, devices and for all your vision AI workflows. Your data stays local and you can be confident that it remains protected.
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We offer flexible licensing options for our Ultralytics YOLO models, including academic, open-source, and enterprise licenses. Choose the option that best fits your needs.
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At Ultralytics, we pride ourselves on our global and active community. With dedicated support channels, forums, and regular updates, you'll always have the resources you need to succeed.
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We strive to make our models better, pushing the boundaries of vision AI. Model performance is at the core of our R&D led by accuracy, efficiency and streamlined infrastructure.
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Our models include Ultralytics YOLOv5, Ultralytics YOLOv8, and Ultralytics YOLO11. Each version enhances accuracy, speed, and supports multiple vision tasks such as object detection, segmentation, and pose estimation for versatile AI applications.
The best Ultralytics YOLO model for your use-case depends on your needs. The latest Ultralytics YOLO11 model offers the latest improvements in accuracy, speed, and multi-task support.
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 different Ultralytics YOLO11 variants are YOLO11n, YOLO11s, YOLO11m, YOLO11l, and YOLO11x. They come in different sizes to offer a balance between speed and accuracy for various uses.
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