IM2GPS: estimating geographic information from a single image. People Abstract Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-calibrated image data is a great reason for computer vision to start looking globally — on the scale of the entire planet! In this paper, we propose a simple algorithm for estimating a distribution over geographic locations from a single image using a purely data-driven scene matching approach. Paper im2gps.pdf, 11MB Citation James Hays, Alexei A. Presentation Google Tech Talk. Test sets im2gps test set, 237 images, 39MB. 2k random test set, 2000 images, 308MB.geographically uniform test set, 955 images, 140M.human geolocation test set, 64 images, 11M.
All Geolocation Results Gallery of geolocation results for the entire test set. Download Scripts Code for downloading Flickr images. Comparison to Human Geolocation Performance Acknowledgements. BYO Image Search Lab - Idée Inc. Goggles.