Datasets:

NUS-UAL
/

global-streetscapes

Tasks:

Image Classification

Image Segmentation

Image Feature Extraction

Modalities:

Languages:

Size:

Tags:

street view imagery

urban analytics

volunteered geographic information

License:

Dataset card Viewer Files Files and versions Community

junguin commited on Jul 18, 2024

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@@ -23,7 +23,7 @@ size_categories:
 Repository for the tabular portion (346 features) of the [Global Streetscapes dataset project](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
-This repository has a total size of about 63G (37G for `data/`, 23G for `manual_labels/`, and 2.8G for `models/`). Please make sure your device has sufficient storage before cloning the repo.
 You can follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes) to download the image files (total 10+ Million images, ~6TB) from their original sources as you need.
 Our [Wiki](https://github.com/ualsg/global-streetscapes/wiki/2-Download-images) also contains instructions and demo on how to filter the dataset for a subset of data of your interest and download the image files for them.

 Repository for the tabular portion (346 features) of the [Global Streetscapes dataset project](https://ual.sg/project/global-streetscapes/) by the [Urban Analytics Lab (UAL)](https://ual.sg/) at the National University of Singapore (NUS).
+This repository has a total size of about 63G (37G for `data/`, 23G for `manual_labels/`, and 2.8G for `models/`). Please make sure your device has sufficient storage if you are downloading the entire repo.
 You can follow the code and documentation in our [GitHub repo](https://github.com/ualsg/global-streetscapes) to download the image files (total 10+ Million images, ~6TB) from their original sources as you need.
 Our [Wiki](https://github.com/ualsg/global-streetscapes/wiki/2-Download-images) also contains instructions and demo on how to filter the dataset for a subset of data of your interest and download the image files for them.