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README.md

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+---
+license: mit
+pretty_name: Complex Pavement Crack Dataset
+task_categories:
+- image-segmentation
+- object-detection
+tags:
+- crack-detection
+- pavement
+- road
+- semantic-segmentation
+- complex-cracks
+size_categories:
+- 500<n<1K
+---
+
+# complexCrack
+
+Complex pavement crack images from [SEU-zhc/complexPavementCrackDataset](https://github.com/SEU-zhc/complexPavementCrackDataset).
+
+## Overview
+
+Over 500 images of complex pavement cracks captured with onboard cameras, including challenging conditions such as shadows, watermarks, brake marks, and other environmental noise.
+
+## Contents
+
+| Type | Count | Description |
+|------|-------|-------------|
+| `.png` | 386 | Numbered crack images |
+| `.jpg` | 194 | DJI / field images (some with `_vis` suffix) |
+| **Total** | **580** | **~1.8 GB** |
+
+## Original source
+
+- **GitHub:** https://github.com/SEU-zhc/complexPavementCrackDataset
+- **Baidu Pan:** https://pan.baidu.com/s/1BdNnLYwtCcZYkr0ygai7Eg (code: `9a52`)
+
+## Annotations (in original zip)
+
+The upstream dataset also includes:
+
+- **Object detection:** YOLO-style `.txt` files (`class_id xc yc w h`)
+- **Semantic segmentation:** binary crack masks (`crackmask`)
+
+This Hugging Face mirror hosts the extracted image files.
+
+## Citation
+
+Please cite the original authors when using this dataset. See the [upstream repository](https://github.com/SEU-zhc/complexPavementCrackDataset) for citation details.