Face Clustering

Face Clustering is a task in the field of computer vision that aims to analyze and group similar face images in a video. The goal of this task is to automatically identify different individuals appearing in the video and categorize their facial images into corresponding clusters without pre-labeling identity information. Face Clustering has significant application value in areas such as facial recognition, video surveillance, and social network analysis, effectively enhancing data processing efficiency and accuracy.