POSE DETECTION
Custom Face Recognition Pose Detection
Pose Detection is a Computer Vision technique that
predicts the tracks and location of a person or object. This is done by looking at the combination
of the poses and the orientation of the given person or object.
The performance of semantic keypoint tracking in live
video footage requires high computational resources what has been limiting the accuracy of pose
estimation. With the latest advances, new applications with real-time requirements become possible,
such as self-driving cars and last-mile delivery robots.
With our Landmark Annotation Services, you can train
your machine learning models to recognise facial expressions and emotions. We label structural
points or features of interest in your data using key points to detect human facial expressions and
gestures. Our services also include the pose-point annotation method, which trains your computer
vision models to estimate human movement and detect human figures or poses
accurately.