Datasets:
Modalities:
Geospatial
Languages:
English
Size:
1M<n<10M
Tags:
street view imagery
open data
data fusion
urban analytics
GeoAI
volunteered geographic information
License:
updating the final citation
Browse files
README.md
CHANGED
@@ -35,9 +35,9 @@ Cite our paper:
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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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doi = {10.1016/j.isprsjprs.2024.06.023},
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journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
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pages = {},
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title = {Global Streetscapes -- A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics},
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volume = {},
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year = {2024}
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}
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```
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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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doi = {10.1016/j.isprsjprs.2024.06.023},
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journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
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+
pages = {216-238},
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title = {Global Streetscapes -- A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics},
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volume = {215},
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year = {2024}
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}
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```
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