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license: mit
language:
- en
tags:
- engineering
size_categories:
- 1B<n<10B
---
# 🏗️ BridgePoint-Seg Dataset
**BridgePoint-Seg** is a synthetic 3D point cloud dataset developed for large-scale masonry bridge segmentation. It provides training and test sets of point clouds with detailed semantic labels across straight and curved masonry bridges.
## 📁 Dataset Structure
```
BridgePoint-Seg/
├── syn_data/
│ ├── train/
│ │ ├── straight_bridge/ # 2,177 training samples
│ │ └── curved_bridge/ # 1,500 training samples
│ └── test/
│ ├── straight_bridge/ # 87 test samples
│ └── curved_bridge/ # 500 test samples
```
Each point cloud sample includes:
- `points.npz`: A NumPy file containing a point cloud of shape *(N, 3)* with key `'xyz'`.
- `points_label.npz`: A NumPy file containing per-point semantic labels with key `'sem_label'`.
## 🧾 File Format
| File | Content | Key | Shape |
|--------------------|--------------------------------|-------------|--------------|
| `points.npz` | 3D coordinates of point cloud | `xyz` | *(N, 3)* |
| `points_label.npz` | Semantic labels per point | `sem_label` | *(N,)* |
## 📊 Statistics
| Set | Category | Samples |
|------------|------------------|---------|
| `train` | `straight_bridge`| 2,177 |
| `train` | `curved_bridge` | 1,500 |
| `test` | `straight_bridge`| 87 |
| `test` | `curved_bridge` | 500 |
## 🧠 Applications
BridgePoint-Seg supports research on:
- Semantic segmentation of large-scale point clouds
- Generalization to bridge structures with different geometries
- Training lightweight deep learning architectures for infrastructure monitoring
## Citations
If you find our dataset is beneficial to your research, please consider citing:
```cite
@article{jing2024lightweight,
title={A lightweight Transformer-based neural network for large-scale masonry arch bridge point cloud segmentation},
author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
journal={Computer-Aided Civil and Infrastructure Engineering},
year={2024},
publisher={Wiley Online Library}
}
@article{jing2022segmentation,
title={Segmentation of large-scale masonry arch bridge point clouds with a synthetic simulator and the BridgeNet neural network},
author={Jing, Yixiong and Sheil, Brian and Acikgoz, Sinan},
journal={Automation in Construction},
volume={142},
pages={104459},
year={2022},
publisher={Elsevier}
}
```
## License
Our work is subjected to MIT License. |