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Ultralytics

Democratizing Vision AI

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At Ultralytics, we are dedicated to creating the best artificial intelligence models in the world. Our open source works here on GitHub offer cutting-edge solutions for a wide range of AI tasks, including object detection, tracking, instance segmentation, semantic segmentation, image classification, and pose estimation 🚀.

We welcome contributions from the global community 🌍 and are always eager to hear from users with feature requests and bug reports. If you're looking for state-of-the-art AI models that are fast, accurate, and easy to use, Ultralytics is the place to be. For commercial deployments, explore our enterprise licensing options.

Join us on our mission to push the boundaries of AI and make it accessible to everyone! 💡🌟


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  1. ultralytics ultralytics Public

    Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

    Python 60.8k 11.6k

  2. yolov5 yolov5 Public

    Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

    Python 57.9k 17.5k

  3. yolov3 yolov3 Public

    PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

    Python 10.6k 3.4k

  4. notebooks notebooks Public

    Ultralytics YOLO tutorials for Colab, Kaggle, and SageMaker covering training, inference, export, and vision tasks.

    Jupyter Notebook 233 53

  5. yolo-ios-app yolo-ios-app Public template

    Ultralytics YOLO iOS app and Swift package for real-time Core ML inference across major computer vision tasks.

    Swift 505 100

  6. yolo-flutter-app yolo-flutter-app Public

    Official Ultralytics YOLO Flutter plugin for real-time inference on Android and iOS across major vision tasks.

    Dart 477 173

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