Today we’re excited to launch our latest pose detection model, MoveNet, with our new pose-detection API in TensorFlow. MoveNet is an ultra fast and accurate model that detects 17 keypoints of a body. Both models run faster than real time on most modern desktops, laptops, and phones, which proves crucial for live fitness, sports, and health applications. Human pose estimation has come a long way in the last five years, but surprisingly hasn’t surfaced in many applications just yet.

With MoveNet, our mission was to design and optimize a model that leverages the best aspects of state-of-the-art architectures, while keeping inference times as low as possible.
 

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