To use or not to use proprietary street view images in (health and place) research? That is the question
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914722068037632 |
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| author | Helbich, Marco Danish, Matthew Labib, SM Ricker, Britta |
| author_facet | Helbich, Marco Danish, Matthew Labib, SM Ricker, Britta |
| contents | Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ease of harnessing millions of Google Street View images, this article questions the current practices in using this proprietary data source from a European viewpoint. Our concern lies with Google's terms of service, which restrict bulk image downloads and the generation of street view image-based indices. To reconcile the challenge of advancing society through groundbreaking research while maintaining data license agreements and legal integrity, we believe it is crucial to 1) include an author's statement on using proprietary street view data and the directives it entails, 2) negotiate academic-specific license to democratize Google Street View data access, and 3) adhere to open data principles and utilize open image sources for future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_11504 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | To use or not to use proprietary street view images in (health and place) research? That is the question Helbich, Marco Danish, Matthew Labib, SM Ricker, Britta Computer Vision and Pattern Recognition Applications Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ease of harnessing millions of Google Street View images, this article questions the current practices in using this proprietary data source from a European viewpoint. Our concern lies with Google's terms of service, which restrict bulk image downloads and the generation of street view image-based indices. To reconcile the challenge of advancing society through groundbreaking research while maintaining data license agreements and legal integrity, we believe it is crucial to 1) include an author's statement on using proprietary street view data and the directives it entails, 2) negotiate academic-specific license to democratize Google Street View data access, and 3) adhere to open data principles and utilize open image sources for future research. |
| title | To use or not to use proprietary street view images in (health and place) research? That is the question |
| topic | Computer Vision and Pattern Recognition Applications |
| url | https://arxiv.org/abs/2402.11504 |