Dataset Description

A large dataset containing millions of pairs of ground-level and aerial/satellite images from across the United States.

Additional Resources

• Visit the project webpage.
• If you would like to download the dataset, please contact me via email.

Dataset Citation

If you use the dataset, please cite the following publications:

1. Workman S, Souvenir R, Jacobs N. 2015. Wide-Area Image Geolocalization with Aerial Reference Imagery. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.451.
   bibtex | website | code | doi

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   Bibtex Entry for "Wide-Area Image Geolocalization with Aerial Reference Imagery"

   @inproceedings{workman2015localize,
     annotation = {spotlight,dataset_cvusa,waldo,nvidia,remote_sensing,social_media,localization},
     author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
     booktitle = {IEEE International Conference on Computer Vision (ICCV)},
     code = {https://github.com/scottworkman/deeplyfound},
     pages = {1--9},
     pdf = {http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Workman_Wide-Area_Image_Geolocalization_ICCV_2015_paper.pdf},
     project = {http://cs.uky.edu/%7escott/research/deeplyfound/},
     thumbnail = {http://cs.uky.edu/%7ejacobs/thumbnails/crossview.jpg},
     title = {Wide-Area Image Geolocalization with Aerial Reference Imagery},
     doi = {10.1109/ICCV.2015.451},
     note = {Acceptance rate: 30.3\%},
     year = {2015}
   }
   

Related Publication(s)

1. Workman S, Souvenir R, Jacobs N. 2015. Wide-Area Image Geolocalization with Aerial Reference Imagery. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.451.
   bibtex | website | code | doi

   ×Close

   Bibtex Entry for "Wide-Area Image Geolocalization with Aerial Reference Imagery"

   @inproceedings{workman2015localize,
     annotation = {spotlight,dataset_cvusa,waldo,nvidia,remote_sensing,social_media,localization},
     author = {Workman, Scott and Souvenir, Richard and Jacobs, Nathan},
     booktitle = {IEEE International Conference on Computer Vision (ICCV)},
     code = {https://github.com/scottworkman/deeplyfound},
     pages = {1--9},
     pdf = {http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Workman_Wide-Area_Image_Geolocalization_ICCV_2015_paper.pdf},
     project = {http://cs.uky.edu/%7escott/research/deeplyfound/},
     thumbnail = {http://cs.uky.edu/%7ejacobs/thumbnails/crossview.jpg},
     title = {Wide-Area Image Geolocalization with Aerial Reference Imagery},
     doi = {10.1109/ICCV.2015.451},
     note = {Acceptance rate: 30.3\%},
     year = {2015}
   }
   

2. Workman S, Jacobs N. 2015. On the Location Dependence of Convolutional Neural Network Features. In: IEEE/ISPRS Workshop: Looking from above: When Earth observation meets vision (EARTHVISION). 1–9. DOI: 10.1109/CVPRW.2015.7301385.
   bibtex | doi

   ×Close

   Bibtex Entry for "On the Location Dependence of Convolutional Neural Network Features"

   @inproceedings{workman2015geocnn,
     annotation = {waldo,localization,calibration,cvusa,social_media,remote_sensing},
     author = {Workman, Scott and Jacobs, Nathan},
     booktitle = {IEEE/ISPRS Workshop: Looking from above: When Earth observation meets vision (EARTHVISION)},
     note = {Acceptance rate: 30\%},
     pages = {1--9},
     pdf = {http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2015/W13/papers/Workman_On_the_Location_2015_CVPR_paper.pdf},
     title = {On the Location Dependence of Convolutional Neural Network Features},
     doi = {10.1109/CVPRW.2015.7301385},
     year = {2015}
   }