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OpenConstruction-Datasets

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🏗️ OpenConstruction: A Systematic Synthesis of Open Datasets for Data-Centric Artificial Intelligence in Architecture, Engineering and Construction (AEC)

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<h1 align="center"> 
  OpenConstruction: A Systematic Synthesis of Open Datasets for Data-Centric Artificial Intelligence in Architecture, Engineering and Construction (AEC)
</h1>

## 🌐 Quick Links

- **Website:** [https://www.openconstruction.org/](https://www.openconstruction.org/)  
- **Suggest a New Dataset:** [Submit here](https://github.com/ruoxinx/OpenConstruction-Datasets/issues/new?template=new_dataset.yml)  
- **Share an Idea or Feedback:** [Open suggestion](https://github.com/ruoxinx/OpenConstruction-Datasets/issues/new?template=suggestion.yml)  
- **Request Dataset Removal:** Contact us at **[support@openconstruction.org](mailto:support@openconstruction.org)** from a verifiable email

## 📰 News

- **July 2026:** A related research effort associated with OpenConstruction received U.S. National Science Foundation [**Award No. 2612086**](https://www.nsf.gov/awardsearch/show-award?AWD_ID=2612086). Any opinions, findings, and conclusions or recommendations expressed in this repository do not necessarily reflect the views of the National Science Foundation.

## 📋 Overview

The **OpenConstruction** dataset catalog is a curated collection of open-access datasets for construction monitoring and analysis. It provides a centralized resource for researchers, practitioners, and developers working on AI applications in the construction industry.

## 🎯 Motivation

AI-driven computer vision is transforming construction monitoring, safety management, and productivity. Yet, robust AI development requires access to diverse and well-documented datasets.

This project addresses that need by:  
- Compiling a **comprehensive catalog** of construction datasets  
- Standardizing metadata for easier comparison and selection  
- Supporting **benchmarking and reproducible research**  
- Facilitating AI model development across tasks and modalities

## 📊 Dataset Categories

The catalog spans a variety of construction-relevant tasks:

- **Object Detection** 
- **Semantic Segmentation**  
- **Action Recognition**  
- **Pose Estimation**  
- **Image Captioning**  
- **SLAM / Visual Localization**

## 📈 Dataset Statistics  
  
- **Modalities:** RGB, Thermal, Depth, LiDAR/Point Cloud, Synthetic  
- **Annotations:** Bounding boxes, segmentation masks, keypoints, captions  
- **Geographic Coverage:** Multi-country, diverse contexts

## 🤝 Contributing

We welcome community contributions to grow and improve this catalog. Use the quick templates:
- [Suggest a New Dataset](https://github.com/ruoxinx/OpenConstruction-Datasets/issues/new?template=new_dataset.yml)  
- [Share Feedback](https://github.com/ruoxinx/OpenConstruction-Datasets/issues/new?template=suggestion.yml)

## 👥 Community Contributors

This project is enriched by community support and contributions. Thank you for helping grow **OpenConstruction**.

See full contributor list here: [OpenConstruction Community](https://www.openconstruction.org/contributors.html?cpage=1)

## 📧 Contact

For questions, suggestions, or collaboration:  
- Open an [issue](https://github.com/ruoxinx/OpenConstruction-Datasets/issues)  
- Email: **support@openconstruction.org**

## 🙏 Acknowledgments

We thank all dataset creators and contributors for making their resources publicly available to advance AI in construction.

## 📚 Citation

### OpenConstruction Dataset Catalog

```bibtex
@article{xiong2026openconstruction,
  title={OpenConstruction: A Systematic Synthesis of Open Visual Data Sets for Data-Centric Intelligence in Construction Monitoring},
  author={Xiong, Ruoxin and Wang, Yanyu and Cai, Jiannan and Liu, Kaijian and Zhu, Yuansheng and Tang, Pingbo and El-Gohary, Nora},
  journal={Journal of Computing in Civil Engineering},
  volume={40},
  number={5},
  pages={03126002},
  year={2026},
  publisher={American Society of Civil Engineers},
  doi={10.1061/JCCEE5.CPENG-7313}
}
```

### Open Science and Digital Asset Sharing

```bibtex
@article{xiong2026toward,
  title={Toward open science in the AEC community: An ecosystem for sustainable digital assets sharing and reuse},
  author={Xiong, Ruoxin and Wang, Yanyu and Cai, Jiannan and Liu, Kaijian and Zhu, Yuansheng and Tang, Pingbo and El-Gohary, Nora and Gibson Jr, George Edward},
  journal={Developments in the Built Environment},
  volume={26},
  pages={100909},
  year={2026},
  publisher={Elsevier}
}
```

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