Silhouette Score

SIFT (Scale-Invariant Feature Transform) is a robust computer vision algorithm that detects and describes distinctive keypoints in images, invariant to scale, rotation, and illumination changes. It enables reliable matching of features across different images, which is essential for tasks like object recognition, image stitching, and 3D reconstruction. SIFT's distinctive descriptors improve accuracy in complex visual environments.