OpenConstruction: A Systematic Synthesis of Open Datasets for Data-Centric Artificial Intelligence in Architecture, Engineering and Construction (AEC)
- Website: https://www.openconstruction.org/
- Suggest a New Dataset: Submit here
- Share an Idea or Feedback: Open suggestion
- Request Dataset Removal: Contact us at support@openconstruction.org from a verifiable email
- July 2026: A related research effort associated with OpenConstruction received U.S. National Science Foundation Award No. 2612086. Any opinions, findings, and conclusions or recommendations expressed in this repository do not necessarily reflect the views of the National Science Foundation.
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.
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
The catalog spans a variety of construction-relevant tasks:
- Object Detection
- Semantic Segmentation
- Action Recognition
- Pose Estimation
- Image Captioning
- SLAM / Visual Localization
- Modalities: RGB, Thermal, Depth, LiDAR/Point Cloud, Synthetic
- Annotations: Bounding boxes, segmentation masks, keypoints, captions
- Geographic Coverage: Multi-country, diverse contexts
We welcome community contributions to grow and improve this catalog. Use the quick templates:
This project is enriched by community support and contributions. Thank you for helping grow OpenConstruction.
See full contributor list here: OpenConstruction Community
For questions, suggestions, or collaboration:
- Open an issue
- Email: support@openconstruction.org
We thank all dataset creators and contributors for making their resources publicly available to advance AI in construction.
@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}
}@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}
}