PRIV-LOC
Geolocation Privacy Challenge
Challenge yourself against state-of-the-art AI models in a real-time geolocation game. Can you identify photo locations better than Claude, GPT, Gemini, and Qwen?
How to Play
Click on the map where you think the image was taken, then click Select to confirm your guess. The closer you are, the higher your score!
Your Competition
Face off against cutting-edge AI models from leading tech companies:
Scoring System
Earn up to 5000 points per image based on accuracy. Distance matters!
🏆 Ready for the Challenge?
This isn't just a game—it's cutting-edge research in AI privacy and geolocation. Your performance helps us understand how humans compare to AI in visual location detection.
@inproceedings{grainge2025geolocation, title = {Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models}, author = {Grainge, O. and Waheed, S. and Stilgoe, J. and Milford, M. and Ehsan, S.}, booktitle = {Proceedings of the AAAI 2025 Fall Symposium on AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC)}, year = {2025}, publisher = {AAAI Press}, address = {Arlington, Virginia, USA}, note = {Forthcoming} } ```
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Average Performance (until now)