Multi-Label Image Recognition

Multi-Label Image Recognition is an important branch of computer vision aimed at identifying multiple labels or categories that may coexist simultaneously within an image. Unlike single-label classification, multi-label image recognition can provide a more comprehensive description of image content, enhancing the accuracy and richness of information extraction. This technology is widely applied in scenarios such as image retrieval, content moderation, and intelligent annotation, making it highly valuable in practical applications.