Pose Estimation

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Pose estimation focuses on understanding how a person or object is positioned in an image or video. For humans, the model predicts key points such as shoulders, elbows, knees, and ankles, then links them to form a rough skeleton. For objects or cameras, the goal is to estimate position and orientation within a scene.

Pose estimation is used in motion capture, augmented reality filters, fitness and rehabilitation apps, and robotics. Accuracy is usually measured by how close the predicted key points are to ground-truth labels. As models and hardware improve, pose estimation is becoming fast enough to run in real time, even on phones and other edge devices.

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