Melbourne Google Street View imagery dataset
Creators
- 1. Transport, Health and Urban Design, Melbourne School of Design, The University of Melbourne, Parkville VIC 3010, Australia
Description
The data presented in this article is related to the research article entitled "Urban design using generative adversarial networks: optimising citizen health and wellbeing" (Wijnands et al 2018). The data consists of Google Street View (Google Maps, 2017) imagery (4,473,991 images, 8-bit JPEG at 256x256 resolution) from four headings (0, 90, 180, and 270 degrees) at 1,118,534 locations in the greater metropolitan area of Melbourne, Australia. Locations were determined using the nodes of the vector lines in the PSMA Street Network dataset (PSMA 2018) and data was post-processed by removing indoor images. Please cite this paper if you use the dataset.
The data is broken up into four archives, 000.zip, 090.zip, 180.zip, and 270.zip, containing the imagery from each compass heading. A csv file (contained in MelbourneStreetViewImagesData.zip) provides a mapping between the filenames, location names, direction, latitude, and longitude.
Files
000.zip
Files
(51.0 GB)
| Name | Size | Download all |
|---|---|---|
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md5:05ed9f9508a2a8b23683be670ffd1b3a
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12.7 GB | Preview Download |
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md5:ec1d79ab6a428432b0c55502d9ac95ca
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12.7 GB | Preview Download |
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md5:7d6c7dbcdd04f1d609210b1d5a3de52d
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12.7 GB | Preview Download |
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md5:e3b5d3d6884ec580aff7d347bdbf19e7
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12.7 GB | Preview Download |
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md5:26d80a09979d3cb8b800435b3b003237
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141.3 MB | Preview Download |
Additional details
References
- Google Maps, 2017. Google Street View API, Available from https://developers.google.com/maps/documentation/streetview/.
- PSMA Australia Limited, 2018. PSMA Street Network (August 2017); accessed from AURIN Portal on 2018-02-28.
- Wijnands, J. S. and Nice, K. A. and Thompson, J. and Zhao, H. and Stevenson, M. (2018). Urban design using generative adversarial networks: optimising citizen health and wellbeing. In preparation.