UCF Google Street View Dataset 2014
Amir R. Zamir and Mubarak Shah

Dataset_PitOrlManh (15 files)
Cartesian_Location_Coordinates.mat 180.23kB
Color_hist.mat 5.62MB
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
zipped images/part3.zip 4.82GB
zipped images/part4.zip 4.91GB
zipped images/part5.zip 5.18GB
zipped images/part6.zip 5.10GB
zipped images/part7.zip 5.40GB
zipped images/part8.zip 4.61GB
zipped images/part9.zip 4.24GB
zipped images/part10.zip 2.03GB
Type: Dataset
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superseded= {},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}
}


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