San Francisco Landmark Dataset for Mobile Landmark Recognition

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 CVPR paper. We provide this dataset to facilitate further research in the important area of landmark recognition with mobile devices.