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# Scale Noise-Robust Pavement Crack Detection Dataset
CrackBlock600K is a large-scale, high-resolution pavement crack dataset designed for noise-robust crack detection, label refinement, and segmentation research.
It consists of **600,000 overlapped 1000×1000 image patches** derived from **50,000 real-world highway images** collected in Zhejiang Province, China.
This dataset supports training, evaluation, label noise mitigation, and attention-guided crack segmentation.
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## 📂 Dataset Structure
The dataset contains:
```
CrackBlock600K/
├── images/ # 50k grayscale 3400×2200 images
├── labels/ # 600k corresponding block-level annotation maps
└── README.md
```
### ● Label format
- Value:
- `1` → crack present
- `0` → no crack
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## 🏗️ Dataset Construction
### 1. **Data Collection**
- Collected using a CiCS I inspection vehicle
- Fixed camera parameters (focal length 60mm)
- Driving speed: 30 km/h
- 50,000 grayscale road images (2000×3000)
- …
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