Cataloging Public Objects Using Aerial and Street-Level Images – Urban Trees

​Wegner*, J.D., Branson*, S., Hall, D., Schindler, K., Perona, P.: Cataloging Public Objects Using Aerial and Street-Level Images – Urban Trees, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (* authors contributed equally to this publication)

From Google Maps to a Fine-Grained Catalog of Street trees

​Branson*, S., Wegner*, J.D., Hall, D., Lang, N., Schindler, K., Perona, P.: From Google Maps to a Fine-Grained Catalog of Street trees, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 135, 2018, pp. 13 - 30. (* authors contributed equally to this publication)

Dataset
The Pasadena Urban Trees dataset includes roughly 30,000 trees labeled by geo-location and tree species located within Pasadena.   The dataset includes dense aerial and street view imagery for this region, as well as the train/test splits used in the paper.   Due to licensing restrictions, it may only be used for research purposes and is available by sending a request to registree@googlegroups.com.
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