Multi-Label Image Retrieval

Multi-Label Image Retrieval is an important task in the field of computer vision, aiming to efficiently and accurately retrieve images that match multiple label descriptions from a large-scale image database. This technology enhances the comprehensive understanding of complex scenes and objects by mining multi-dimensional features of image content, thereby significantly improving the precision and recall rate of image retrieval. It is widely applied in scenarios such as image management, intelligent search, and content recommendation.