
Potholes aren’t just annoying. They cause accidents, damage tires, and cost cities millions every year.
The Pothole Detection Challenge puts you in the driver’s seat: Build a computer-vision model that automatically finds potholes in real road photos and draws precise boxes around each one.

You won’t be training on clean, uniform footage. The images come from:
A winning model must:
(class 1 = pothole | rest = normalized center-x, center-y, width, height)
1. Quick public leaderboard score
Upload a simple CSV with two columns: id, predict_label
Example row (two potholes detected in one image):
000123,1 0.98 0.45 0.32 0.18 0.12 1 0.87 0.71 0.55 0.20 0.09
All detections go into the same cell, separated by spaces.
2. Final private ranking (what really counts)
Upload your full code and model weights. The system runs your code on a hidden test set to prevent anyone from overfitting the public leaderboard.
mAP@0.5 = Mean Average Precision at 50% overlap
| Phase | Dates |
|---|---|
| Registration | Dec 3 – Dec 16, 2025 |
| Training | Dec 17 – Dec 30, 2025 |
| Validation | Dec 31, 2025 – Jan 13, 2026 |
| Final Submission | Jan 14 – Jan 20, 2026 |
| Judging | Jan 21 – Feb 3, 2026 |
| Results | Feb 4, 2026 |
Reward Structure:
Special Winner: 2,000 AIOZ Tokens
Top 5 Ranked Winners: 500 AIOZ Tokens for each
In total: 4,500 AIOZ Tokens
This challenge is a real civic problem you can help to solve.
From harsh lighting to multi-angle robustness, every hurdle you overcome brings us closer to smarter, safer streets.
Registration opened: December 3rd, 2025.
Jump in now: https://aiozai.network/challenges/pothole-detection-challenge-5598
Let’s patch the planet, one pothole at a time!

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