Translated data: The latest SpatialVLM model proposed by Google endows visual language models with spatial reasoning capabilities, addressing the challenges current models face in spatial reasoning. By generating a large-scale spatial VQA dataset, the model demonstrates significant qualitative and quantitative spatial reasoning abilities. Researchers emphasize the importance of the dataset for model performance, and SpatialVLM introduces new approaches to solving spatial reasoning, bringing new possibilities for the development of robotics, image recognition, and other fields.