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Google PoseNet

Google PoseNet is a machine learning model that estimates human poses in real-time by identifying key body joints from images or video streams. It enables applications to understand and analyze human movements for various uses, such as fitness tracking, augmented reality, and interactive gaming.

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About Google PoseNet

Google PoseNet was developed by Google in 2018 to provide a robust tool for real-time human pose estimation. It aimed to facilitate applications in fitness, augmented reality, and interactive gaming by enabling devices to understand and analyze human movements through images or video streams.

Google PoseNet's strengths include real-time processing, high accuracy in detecting key body joints, and ease of integration into applications. Its weaknesses involve limitations in complex poses and potential inaccuracies in crowded scenes. Competitors include OpenPose, MediaPipe, and Microsoft's Azure Kinect Body Tracking SDK.