---
license: apache-2.0
tags:
  - object-detection
  - road-damage
  - yolo
  - computer-vision
datasets:
  - RDD2022
---

# SABIQ — Road Damage Detection Model

Proactive road defect detection system.

## Model Details
- **Architecture:** YOLO26m
- **Base Model:** yolo26m.pt (Ultralytics)
- **Dataset:** RDD2022 (Road Damage Detection 2022)
- **Classes:** crack, other, pothole
- **mAP50:** 0.636
- **Epochs:** 65
- **Image Size:** 640
- **Training Hardware:** NVIDIA A100

## Validation Results
| Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
|-------|--------|-----------|-----------|--------|-------|----------|
| all | 5758 | 9737 | 0.687 | 0.585 | 0.636 | 0.349 |
| crack | 3266 | 7209 | 0.714 | 0.520 | 0.605 | 0.321 |
| other | 1093 | 1563 | 0.714 | 0.745 | 0.792 | 0.493 |
| pothole | 544 | 965 | 0.635 | 0.491 | 0.512 | 0.233 |

## Classes
| ID | Label | Description |
|----|-------|-------------|
| 0 | crack | Longitudinal, transverse and alligator cracks |
| 1 | other | Other road corruption |
| 2 | pothole | Road potholes |

## Live API
https://rahaf2001-sabiq-api.hf.space