SpotAgent: Grounding Visual Geo-localization in Large Vision-Language Models through Agentic Reasoning

Researchers introduce SpotAgent, a new framework that improves AI geo-localization by combining visual interpretation with external tool verification through agentic reasoning. The system addresses limitations of current Large Vision-Language Models that often make confident but ungrounded predictions when visual cues are sparse or ambiguous.