Open-vocabulary object counting

Open-vocabulary object counting is a computer vision technique aimed at identifying and counting objects in images or videos that have not appeared in the training dataset. This technology enhances the model's generalization and practicality by expanding its vocabulary to handle unknown categories. In practical applications, open-vocabulary object counting can be widely used in intelligent surveillance, autonomous driving, drone inspection, and other fields, improving the system's environmental perception and decision-making capabilities.