Datasets:
Modalities:
Geospatial
Languages:
English
Size:
1M<n<10M
Tags:
street view imagery
open data
data fusion
urban analytics
GeoAI
volunteered geographic information
License:
minor updates
Browse files
README.md
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# Global Streetscapes
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Repository for the tabular portion of the
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Please follow our code to download the raw images (10+ Million images, 346
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Code for reproducibility and documentation: [https://github.com/ualsg/global-streetscapes](https://github.com/ualsg/global-streetscapes).
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You can read more about this project on the [project website](https://ual.sg/project/global-streetscapes/).
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The project website includes an overview of the project together with the background, paper, FAQ
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Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238.
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```
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@article{2024_global_streetscapes,
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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},
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# Global Streetscapes
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Repository for the tabular portion of the [Global Streetscapes dataset](https://www.sciencedirect.com/science/article/pii/S0924271624002612) project by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
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Please follow our code to download the raw images (10+ Million images, 346 features, and ~9TB).
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Code for reproducibility and documentation: [https://github.com/ualsg/global-streetscapes](https://github.com/ualsg/global-streetscapes).
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You can read more about this project on the [project website](https://ual.sg/project/global-streetscapes/).
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The project website includes an overview of the project together with the background, paper, and FAQ.
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Please cite our paper:
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Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238.
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BibTeX:
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```
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@article{2024_global_streetscapes,
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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},
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