RealWorldQA

RealWorldQA is a benchmark designed to evaluate the real-world spatial understanding capabilities of multimodal AI models. It assesses how well these models comprehend physical environments. The benchmark consists of over 700 images, each accompanied by a question and a verifiable answer. These images are drawn from various real-world scenarios, including those captured from vehicles. The goal is to advance AI models' understanding of our physical world.