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

folder Dataset_PitOrlManh (15 files)
filezipped images/part9.zip 4.24GB
filezipped images/part10.zip 2.03GB
filezipped images/part6.zip 5.10GB
filezipped images/part7.zip 5.40GB
filezipped images/part8.zip 4.61GB
filezipped images/part5.zip 5.18GB
filezipped images/part3.zip 4.82GB
filezipped images/part4.zip 4.91GB
fileGIST.mat 238.45MB
fileGPS_Long_Lat_Compass.mat 140.99kB
fileReadme.pdf 52.87kB
filezipped images/part1.zip 4.90GB
filezipped images/part2.zip 4.82GB
fileColor_hist.mat 5.62MB
fileCartesian_Location_Coordinates.mat 180.23kB
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superseded= {},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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