Name | DL | Torrents | Total Size | Joe's Recommended Mirror List [edit] | 233 | 8.28TB | 2312 | 0 | Computer Vision [edit] | 79 | 1.41TB | 640 | 0 |
Dataset_PitOrlManh (15 files)
zipped images/part9.zip | 4.24GB |
zipped images/part10.zip | 2.03GB |
zipped images/part6.zip | 5.10GB |
zipped images/part7.zip | 5.40GB |
zipped images/part8.zip | 4.61GB |
zipped images/part5.zip | 5.18GB |
zipped images/part3.zip | 4.82GB |
zipped images/part4.zip | 4.91GB |
GIST.mat | 238.45MB |
GPS_Long_Lat_Compass.mat | 140.99kB |
Readme.pdf | 52.87kB |
zipped images/part1.zip | 4.90GB |
zipped images/part2.zip | 4.82GB |
Color_hist.mat | 5.62MB |
Cartesian_Location_Coordinates.mat | 180.23kB |
Type: Dataset
Tags:
Bibtex:
Tags:
Bibtex:
@article{, title= {UCF Google Street View Dataset 2014}, keywords= {}, author= {Amir R. Zamir and Mubarak Shah}, abstract= {https://i.imgur.com/MjhbQgK.png The dataset contains 62,058 high quality Google Street View images. The images cover the downtown and neighboring areas of Pittsburgh, PA; Orlando, FL and partially Manhattan, NY. Accurate GPS coordinates of the images and their compass direction are provided as well. For each Street View placemark (i.e. each spot on one street), the 360° spherical view is broken down into 4 side views and 1 upward view. There is one additional image per placemark which shows some overlaid markers, such as the address, name of streets, etc. ### Citation: Please cite the following paper for which this data was collected (partially): Image Geo-localization based on Multiple Nearest Neighbor Feature Matching using Generalized Graphs. Amir Roshan Zamir and Mubarak Shah. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014. }, terms= {}, license= {}, superseded= {}, url= {https://www.crcv.ucf.edu/data/GMCP_Geolocalization/}, year= {2014} }