Global Streetscapes Repository for the tabular portion of the Global Streetscapes dataset by the Urban Analytics Lab (UAL) at the National University of Singapore (NUS). Content Breakdown Download Instructions Please follow this guide from Hugging Face for download instructions. Please avoid using 'git clone' to download the repo as Git stores the files twice and will double the disk space usage. We have also provided a script download folder.py to download a specifc folder from this dataset, instead of just a single file or the entire dataset. To download the imagery portion (10 million images, ~6TB), please follow the code and documentation in our GitHub repo. Our Wiki contains instructions and a demo on how to filter the dataset for a subset of data of your interest and download the image files for them. Read More Read more about this project on its website, which includes an overview of this effort together with the background, paper, examples, and FAQ. A free version (postprint / author accepted manuscript) can be downloaded here. Citation To cite this work, please refer to the paper: Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Gl…
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