Multi Label Image Classification
Multi-label image classification is a subtask in the field of computer vision that focuses on predicting multiple labels for images in multi-class classification problems. Each image may belong to more than one category, and the goal of this task is to accurately identify and assign all relevant labels on a given image dataset, thereby enhancing the comprehensiveness and precision of image content understanding. Multi-label image classification holds significant value in applications such as image retrieval, content moderation, and intelligent labeling.