Keypoint annotation is the process of labeling specific points or landmarks on an object—typically on human bodies, animals, or mechanical parts—to track movement, shape, or posture in images or videos.
🔹 Key Uses:
- Human pose estimation (e.g., tagging joints like elbows, knees, wrists)
- Facial landmark detection (eyes, nose, mouth corners)
- Gesture and activity recognition
- Medical imaging (skeletal structure analysis)
- Autonomous driving (identifying key parts of pedestrians or cyclists)
🔹 How It Works:
Used to train models that analyze motion, expression, or structure.
Annotators mark specific points on the object (e.g., 17 points for a full human pose).
The positions are stored as x, y (and sometimes z) coordinates.