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--- |
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license: mit |
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--- |
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If you use the dataset/source code/pre-trained models in your research, please cite our work. The preprint is available at this [link](https://doi.org/10.36227/techrxiv.176054630.07365932/v1). |
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# 🛰️ CSDS: AI-Based Construction Site Detection and Segmentation Tool for Satellite Images |
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The **Construction Site Detection and Segmentation(CSDS)** is a large-scale dataset of construction site satellite imagery with detailed polygon annotations. |
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It contains both the **raw source data** (images and XML annotations) and **preprocessed training-ready splits** in YOLO format. |
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--- |
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## Dataset Structure |
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## Notes |
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- All images and annotations are provided in **ZIP archives** for efficient storage and download. |
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- The `raw/` folder contains original images and XML annotations. |
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- The `preprocessed/` folder contains processed input images (600px and 1200px) and corresponding annotaions in YOLO-style train/test/val splits. |
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### Raw Data |
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``` |
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raw/ |
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├── images/ # Original construction site images |
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└── annotations/ |
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├── AOD/ # XML annotations for *All Objects Dataset* |
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└── FVOD/ # XML annotations for *Fully Visible Objects Dataset* |
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``` |
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- **AOD**: includes all annotated objects, even partially occluded ones. |
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- **FVOD**: includes only fully visible objects. |
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### Preprocessed Data |
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``` |
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preprocessed/ |
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├── AOD/ |
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│ ├── 600/ # Images with input resolution of 600px (YOLO format) |
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│ │ ├── train/ |
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│ │ │ ├── images/ |
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│ │ │ └── labels/ |
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│ │ ├── val/ |
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│ │ │ ├── images/ |
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│ │ │ └── labels/ |
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│ │ └── test/ |
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│ │ ├── images/ |
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│ │ └── labels/ |
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│ └── 1200/ # Images with input resolution of 1200px (YOLO format) |
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│ └── (train/test/val structure as above) |
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│ |
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└── FVOD/ |
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├── 600/ |
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│ └── (train/test/val with images + labels) |
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└── 1200/ |
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└── (train/test/val with images + labels) |
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``` |
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- **AOD/** → Preprocessed dataset corresponding to "all objects" annotations. |
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- **FVOD/** → Preprocessed dataset corresponding to "fully visible objects" annotations. |
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- Each size folder (`600/`, `1200/`) contains YOLO-ready **`train/`**, **`val/`**, and **`test/`** splits with `images/` and `labels/` directories. |
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--- |
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## Intended Uses |
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- Training and evaluating computer vision models for object detection and segmentation in construction environments. |
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- Benchmarking performance on **occlusion-aware vs fully-visible annotations**. |
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- Studying dataset preprocessing effects (image resolution: 600px vs 1200px). |
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--- |
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## 📄 Reference and Citation |
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This dataset accompanies the preprint: |
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**Ulzhan Bissarinova, Hamad Hassan Awan, Sakiru Olarewaju Olagunju, et al. CSDS: AI-Based Construction Site Detection and Segmentation tool for Satellite Images. |
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TechRxiv. October 15, 2025. [DOI: 10.36227/techrxiv.176054630.07365932/v1](https://doi.org/10.36227/techrxiv.176054630.07365932/v1)** |
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If you use this code or build upon our methods, please cite the preprint. |
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If you use or analyze the dataset directly, please also cite the dataset DOI. |
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## 📊 Dataset |
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The dataset used for training and evaluation is registered at DOI: |
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👉 [https://doi.org/10.48333/0PJD-BP65] |
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**BibTeX citation:** |
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``` |
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@article{Bissarinova_2025, |
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title={CSDS: AI-Based Construction Site Detection and Segmentation tool for Satellite Images}, |
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url={http://dx.doi.org/10.36227/techrxiv.176054630.07365932/v1}, |
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DOI={10.36227/techrxiv.176054630.07365932/v1}, |
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publisher={Institute of Electrical and Electronics Engineers (IEEE)}, |
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author={Bissarinova, Ulzhan and Awan, Hamad Hassan and Olagunju, Sakiru Olarewaju and Bolatkhanov, Iskander and Turekhassim, Abylay and Varol, Huseyin Atakan and Karaca, Ferhat}, |
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year={2025}, |
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month=oct } |
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``` |
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--- |
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## Pretrained Models |
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Pretrained models trained on this dataset are available at: |
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👉 [issai/CSDS_models](https://huggingface.co/issai/CSDS_models) |
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--- |
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## License |
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📜 MIT |
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--- |
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## Acknowledgements |
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This dataset was prepared by the **Institute of Smart Systems and Artificial Intelligence (ISSAI) and Department of Civil and Environmental Engineering, Nazarbayev University**. |
