Keypoint Detection is a computer vision technique used to identify and locate specific points of interest within an image. These keypoints can represent features such as corners, edges, or distinctive patterns that help in understanding the structure of the object or scene. This process is essential for various applications, including image matching, object recognition, and motion tracking. The detected keypoints are often accompanied by descriptors, which are unique representations of the local image region around each keypoint. This allows for efficient comparison and matching between different images. Keypoint Detection plays a crucial role in technologies like augmented reality and robotics, enhancing their ability to interpret visual information.