Keypoint annotation involves marking specific points on objects—such as joints on a human body, facial landmarks, or mechanical parts. These points are used to track movement, understand posture, or define object shape and orientation. It’s widely used in pose estimation, activity recognition, and facial analysis.
• Tracking body joints in physical therapy and rehabilitation AI
• Mapping facial keypoints for pain or emotion detection
• Identifying anatomical landmarks for diagnostics
• Detecting pedestrian postures to predict movement
• Identifying cyclists, motorcyclists, and road worker gestures
• Enhanced human-object interaction models in urban scenarios
• Marking parts of mechanical arms or tools for precise movement
• Training robots for human interaction or gesture understanding
• Assembly line motion detection and safety monitoring
• Facial landmark detection for avatars and filters
• Full-body motion capture for realistic 3D rendering
• Eye and lip tracking in immersive environments
• Analyzing shopper behavior through body pose
• Gaze tracking and emotion analysis for product interaction
• Virtual try-on using facial or hand keypoints
• Annotating joint movements of animals for health tracking
• Gait analysis in horses or livestock
• Wildlife monitoring through motion estimation
