Dataset: San Francisco Landmark Dataset

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Abstract/Contents

Abstract: We present the San Francisco Landmark Dataset, which contains a database of 1.7 million images of buildings in San Francisco with ground truth labels, geotags, and calibration data, as well as a difficult query set of 803 cell phone images taken with a variety of different camera phones. The data is originally acquired by vehicle-mounted cameras with wide-angle lenses capturing spherical panoramic images. For all visible buildings in each panorama, a set of overlapping perspective images is generated. More details about the dataset generation process and a set of recognition experiments on this dataset are presented in our 2011 paper in the IEEE Conference on Computer Vision and Pattern Recognition. We provide this dataset to facilitate further research in the important area of landmark recognition with mobile devices.

Type of resource	software, multimedia
Date created	June 1, 2011

Related Publication	G. Baatz, K. Koser, D. Chen, R. Grzeszczuk, and M. Pollefeys, "Leveraging 3D city models for rotation invariant place-of-interest recognition", International Journal on Computer Vision, Vol. 94, No. 5, May 2011.
Related Publication	G. Schroth, R. Huitl, D. Chen, M. Abu-Alqumsan, A. Al-Nuaimi, and E. Steinbach, "Mobile visual location recognition", IEEE Signal Processing Magazine, Vol. 28, No. 4, July 2011.
Related Publication	G. Baatz, K. Koser, D. Chen, R. Grzeszczuk, and M. Pollefeys, "Handling urban location recognition as a 2D homothetic problem", European Conference on Computer Vision (ECCV), September 2010.
Location	https://purl.stanford.edu/vn158kj2087

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Preferred Citation: D. Chen, G. Baatz, K. Koeser, S. Tsai, R. Vedantham, T. Pylvanainen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, and R. Grzeszczuk, "City-scale landmark identification on mobile devices", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2011. http://dx.doi.org/10.1109/CVPR.2011.5995610. Dataset available at: http://purl.stanford.edu/vn158kj2087

Research Datasets for Image, Video, and Multimedia Systems Group at Stanford

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