🌍
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?
5000
Max Points
8
AI Models
∞
Challenges
🎯
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!
📍 Click to guess location
⚡ Real-time scoring
🏆 Beat the AIs
🤖
Your Competition
Face off against cutting-edge AI models from leading tech companies:
Claude
Anthropic
GPT
OpenAI
Gemini
Google
Qwen
Alibaba
📊
Scoring System
Earn up to 5000 points per image based on accuracy. Distance matters!
5000
Perfect guess
3000+
Within 100km
1000+
Within 1000km
Score = 5000 × e−distance⁄1492.7
🏆 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.
🔬
Contributing to AI research
🔒
Privacy implications study
🌐
Human vs AI comparison
📚 Cite This Research
If you use this work in your research, please cite:
@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)