README.md

---
license: cc-by-sa-4.0
task_categories:
- image-classification
- image-segmentation
- image-feature-extraction
language:
- en
tags:
- street view imagery
- open data
- data fusion
- urban analytics
- GeoAI
- volunteered geographic information
- machine learning
- spatial data infrastructure
size_categories:
- 1M<n<10M
---

# Global Streetscapes

Repository for the tabular portion of the NUS Global Streetscapes dataset project by the [Urban Analytics Lab (UAL)](https://ual.sg/).
Please follow our code to download the raw images (10+ Million images, 346 featuers, and ~9TB).

Code for reproducibility and documentation: [https://github.com/ualsg/global-streetscapes](https://github.com/ualsg/global-streetscapes).

You can read more about this project on the [project website](https://ual.sg/project/global-streetscapes/).
The project website includes an overview of the project together with the background, paper, FAQ

Cite our paper:
```
@article{2024_global_streetscapes,
 author = {Hou, Yujun and Quintana, Matias and Khomiakov, Maxim and Yap, Winston and Ouyang, Jiani and Ito, Koichi and Wang, Zeyu and Zhao, Tianhong and Biljecki, Filip},
 doi = {10.1016/j.isprsjprs.2024.06.023},
 journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
 pages = {},
 title = {Global Streetscapes -- A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics},
 volume = {},
 year = {2024}
}
```