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  2. Ultralytics YOLO is an efficient tool for professionals working in computer vision and ML that can help create accurate object detection models. Simplify the ML development process and improve collaboration among team members using our no-code platform.
    The YOLO11 models, first introduced at Ultralytics’ annual hybrid event, YOLO Vision 2024 (YV24), support a range of computer vision tasks, including pose estimation. Pose estimation can be used to detect key points on a person or object in an image or video to understand their position, posture, or movement.
    www.ultralytics.com/blog/how-to-use-ultralytics-yol…
    The YOLOv8 series offers a diverse range of models, each specialized for specific tasks in computer vision. These models are designed to cater to various requirements, from object detection to more complex tasks like instance segmentation, pose/keypoints detection, oriented object detection, and classification.
    github.com/ultralytics/ultralytics/blob/main/docs/en/…
     
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    Explore Ultralytics YOLOv8 - a state-of-the-art AI architecture designed for highly-accurate vision AI modeling. Ideal for businesses, academics, tech-users, and …

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