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| title: AegisRoad — Road Damage Detection | |
| emoji: ⚡ | |
| colorFrom: blue | |
| colorTo: red | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: true | |
| short_description: YOLOv11 road damage detection · D00/D10/D20/D40 · RDD2022 | |
| # ⚡ AegisRoad v3.0 | |
| AI-powered road damage detection using YOLOv11. | |
| ## Endpoints | |
| - `POST /predict` — upload an image, get detections + annotated image back | |
| - `GET /health` — check if model is loaded | |
| - `GET /classes` — list damage classes | |
| ## Classes | |
| | Code | Name | Severity | | |
| |------|------|----------| | |
| | D00 | Longitudinal Crack | Low | | |
| | D10 | Transverse Crack | Medium | | |
| | D20 | Alligator Cracking | High | | |
| | D40 | Pothole | Critical | | |
| ## Activating Real Inference | |
| Upload `best.pt` to the `models/` folder after Kaggle training. Space auto-restarts. |