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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

@ARTICLE{10494890,
  author={Grainge, Oliver and Milford, Michael and Bodala, Indu and Ramchurn, Sarvapali D. and Ehsan, Shoaib},
  journal={IEEE Robotics and Automation Letters}, 
  title={Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition}, 
  year={2024},
  volume={9},
  number={6},
  pages={5070-5077},
  doi={10.1109/LRA.2024.3386459}}