Language-Based Object Detection is an approach to object detection that incorporates natural language understanding into the process. This can involve using textual descriptions or queries to guide the object detection model in recognizing specific objects or attributes in images. It combines computer vision with natural language processing techniques to enable more intuitive and interactive communication with systems handling visual data. This approach is particularly useful for applications where users can describe the objects they are interested in using natural language, and the system can then locate and identify those objects in images or videos.