Landmark annotation is a technique that involves identifying and labeling key features or points on an object in an image or video. This technique is used extensively in computer vision and machine learning applications to help computers recognize and understand objects in digital media.

The process of landmark annotation involves manually identifying and labeling specific points on an object, such as the corners of the eyes, nose, mouth, and other facial features. These points are then used to create a set of landmarks that can be used to identify and track the object in subsequent frames of a video or image sequence.

Landmark annotation is an important technique in a wide range of applications, including facial recognition, object detection, and tracking. For example, in the field of facial recognition, landmark annotation can be used to identify specific features of a person's face, such as the shape of their jawline or the distance between their eyes, in order to identify them more accurately.