A citizen science toolkit to collect human perceptions of urban environments using open street view images

arXiv:2403.00174v1 Announce Type: new
Abstract: Street View-level Imagery (SVI) is a valuable data source for studies (e.g., environmental assessments, green space identification or land cover classification). While commercial SVI is available, such providers commonly restrict copying or reuse in ways necessary for research. Open SVI datasets are readily available from less restrictive sources, such as Mapillary, but due to the heterogeneity of the images, these require substantial preprocessing, filtering, and careful quality checks. We present an efficient method for automated …

abstract arxiv citizen science classification commercial cs.cv data environmental environments green human identification images research science space street studies toolkit type urban view