Zero Shot Image Classification

Zero-Shot Image Classification is a technique in the field of computer vision aimed at enabling models to classify images into categories that were not seen during training. By leveraging semantic information about the categories, such as textual descriptions or relationships between categories, this technology significantly enhances the model's generalization and adaptability, expanding its value in real-world applications.