AI RESEARCH
GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
arXiv CS.CV
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ArXi:2603.14609v1 Announce Type: new Precise spatial understanding in Earth Observation is essential for translating raw aerial imagery into actionable insights for critical applications like urban planning, environmental monitoring and disaster management. However, Multimodal Large Language Models exhibit critical deficiencies in fine-grained spatial understanding within Remote Sensing, primarily due to a reliance on limited or repurposed legacy datasets. To bridge this gap, we