OpenConstruction
OpenConstruction is a curated collection of publicly available datasets focused on construction monitoring and analysis. This serves as a central hub for researchers, practitioners, and developers working on AI applications in the construction industry.
Why we built this
The industry is rapidly adopting AI-driven computer vision for monitoring, safety, and efficiency. Effective models need high-quality, diverse datasets. Our goals:
- Provide a comprehensive catalog of open construction datasets
- Standardize metadata for comparison and selection
- Enable fair benchmarking and evaluation
- Support reproducible research and education
Cite the catalog
Our work is documented in:
OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring
Ruoxin Xiong, Yanyu Wang, Jiannan Cai, Kaijian Liu, Yuansheng Zhu, Pingbo Tang, Nora El-Gohary
arXiv:2508.11482, 2025
@misc{xiong2025openconstructionsystematicsynthesisopen,
title={OpenConstruction: A Systematic Synthesis of Open Visual Datasets for Data-Centric Artificial Intelligence in Construction Monitoring},
author={Ruoxin Xiong and Yanyu Wang and Jiannan Cai and Kaijian Liu and Yuansheng Zhu and Pingbo Tang and Nora El-Gohary},
year={2025},
eprint={2508.11482},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2508.11482}
}
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Request dataset removal
If you’d like a dataset removed, please email ruoxinx@outlook.com from an address that can verify ownership, and we’ll act quickly.