Machine Generated Data
Tags
Amazon
created on 2023-10-25
City | 100 | |
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Road | 100 | |
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Street | 100 | |
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Urban | 100 | |
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Arch | 98.6 | |
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Architecture | 98.6 | |
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Car | 97.8 | |
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Transportation | 97.8 | |
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Vehicle | 97.8 | |
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Car | 97.7 | |
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Car | 97.6 | |
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License Plate | 96 | |
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Tunnel | 95.6 | |
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Car | 95.6 | |
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Car | 94.2 | |
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Building | 88.8 | |
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Machine | 87.1 | |
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Wheel | 87.1 | |
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Wheel | 86 | |
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Metropolis | 85.8 | |
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Wheel | 83.6 | |
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Freeway | 83.1 | |
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Wheel | 82.8 | |
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Building | 79.9 | |
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Person | 75.8 | |
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Wheel | 72.2 | |
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Condo | 57.6 | |
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Housing | 57.6 | |
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Sign | 56.8 | |
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Symbol | 56.8 | |
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Neighborhood | 56.6 | |
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Overpass | 56.3 | |
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Motorcycle | 56 | |
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Path | 55.3 | |
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Railway | 55.1 | |
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Terminal | 55.1 | |
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Train | 55.1 | |
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Train Station | 55.1 | |
|
Clarifai
created on 2023-10-15
people | 99.5 | |
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street | 99.2 | |
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monochrome | 96.3 | |
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group | 96.2 | |
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group together | 94.8 | |
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art | 92.2 | |
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many | 91.3 | |
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vehicle | 91.1 | |
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tram | 88.3 | |
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architecture | 87 | |
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city | 86.2 | |
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transportation system | 86.1 | |
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train | 85 | |
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no person | 85 | |
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man | 84.8 | |
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building | 84.2 | |
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adult | 84 | |
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vintage | 83.1 | |
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railway | 81.8 | |
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bridge | 80.7 | |
|
Imagga
created on 2019-01-31
architecture | 57.6 | |
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city | 55.7 | |
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building | 49.5 | |
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night | 47.1 | |
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structure | 32.4 | |
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tower | 31.4 | |
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travel | 31 | |
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landmark | 29.8 | |
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facade | 26.8 | |
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urban | 24.5 | |
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cityscape | 21.8 | |
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street | 21.2 | |
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skyline | 20.9 | |
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tourism | 20.6 | |
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bridge | 20.1 | |
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sky | 19.8 | |
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famous | 19.6 | |
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town | 19.5 | |
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skyscraper | 17.6 | |
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downtown | 17.3 | |
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buildings | 17 | |
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billboard | 16.7 | |
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business district | 16.6 | |
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river | 16 | |
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light | 14.7 | |
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tourist | 14.7 | |
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old | 14.6 | |
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capital | 14.2 | |
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lights | 13.9 | |
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church | 13.9 | |
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historic | 13.8 | |
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signboard | 13.5 | |
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history | 13.4 | |
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palace | 13.4 | |
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cathedral | 13.3 | |
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waterfront | 13.1 | |
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reflection | 13 | |
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modern | 12.6 | |
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university | 12.5 | |
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ancient | 12.1 | |
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temple | 12 | |
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england | 11.4 | |
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water | 11.4 | |
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historical | 11.3 | |
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scene | 11.3 | |
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window | 11 | |
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district | 10.7 | |
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harbor | 10.6 | |
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balcony | 10.5 | |
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landscape | 10.4 | |
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destination | 10.3 | |
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evening | 10.3 | |
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exterior | 10.1 | |
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house | 9.9 | |
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office | 9.6 | |
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tall | 9.4 | |
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culture | 9.4 | |
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monument | 9.3 | |
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religion | 9 | |
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new | 8.9 | |
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architectural | 8.7 | |
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stone | 8.6 | |
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sea | 8.6 | |
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center | 8.5 | |
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place | 8.4 | |
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dark | 8.4 | |
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residence | 8.2 | |
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vacation | 8.2 | |
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business | 7.9 | |
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art | 7.8 | |
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port | 7.7 | |
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boat | 7.6 | |
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cinema | 7.5 | |
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square | 7.2 | |
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hall | 7.2 | |
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Google
created on 2019-01-31
Black | 94.5 | |
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Black-and-white | 86.3 | |
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Monochrome | 85.7 | |
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Architecture | 84.4 | |
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Building | 70.7 | |
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City | 70.7 | |
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Photography | 70.6 | |
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Street | 64.9 | |
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Metropolis | 58 | |
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Monochrome photography | 57.8 | |
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Arch | 56.4 | |
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Style | 53.5 | |
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Downtown | 52 | |
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Microsoft
created on 2019-01-31
black | 86.5 | |
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outdoor | 85.1 | |
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white | 81.7 | |
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city | 57.1 | |
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old | 44.6 | |
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street | 44.6 | |
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black and white | 34.4 | |
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monochrome | 10.6 | |
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urban | 8 | |
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Color Analysis
Feature analysis
Categories
Imagga
streetview architecture | 98.7% | |
|
Captions
Microsoft
created on 2019-01-31
a black and white photo of a city | 92.5% | |
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a black and white photo of a building | 92.1% | |
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a vintage photo of a city | 92% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/16077487/661,659,24,19/full/0/native.jpg)
NO
![](https://ids.lib.harvard.edu/ids/iiif/16077487/661,657,115,25/full/0/native.jpg)
NO PARKING
![](https://ids.lib.harvard.edu/ids/iiif/16077487/668,633,100,26/full/0/native.jpg)
DANGER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/692,659,84,24/full/0/native.jpg)
PARKING
![](https://ids.lib.harvard.edu/ids/iiif/16077487/167,401,83,21/full/0/native.jpg)
RESTAURANT
![](https://ids.lib.harvard.edu/ids/iiif/16077487/181,191,87,21/full/0/native.jpg)
PHARMACY
![](https://ids.lib.harvard.edu/ids/iiif/16077487/182,168,84,24/full/0/native.jpg)
MOLFINO'S
![](https://ids.lib.harvard.edu/ids/iiif/16077487/730,684,24,11/full/0/native.jpg)
POLICE
![](https://ids.lib.harvard.edu/ids/iiif/16077487/683,682,21,10/full/0/native.jpg)
ORDER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/519,598,62,32/full/0/native.jpg)
NOUTURN
![](https://ids.lib.harvard.edu/ids/iiif/16077487/673,682,8,7/full/0/native.jpg)
BY
![](https://ids.lib.harvard.edu/ids/iiif/16077487/527,590,49,20/full/0/native.jpg)
POSITIVELY
![](https://ids.lib.harvard.edu/ids/iiif/16077487/198,295,37,12/full/0/native.jpg)
BROMO
![](https://ids.lib.harvard.edu/ids/iiif/16077487/195,306,40,14/full/0/native.jpg)
SELTZER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/706,684,9,8/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/16077487/672,681,100,14/full/0/native.jpg)
BY ORDER OF SE POLICE DEPT
![](https://ids.lib.harvard.edu/ids/iiif/16077487/756,686,17,9/full/0/native.jpg)
DEPT
![](https://ids.lib.harvard.edu/ids/iiif/16077487/527,627,38,18/full/0/native.jpg)
SEPD
![](https://ids.lib.harvard.edu/ids/iiif/16077487/387,277,34,15/full/0/native.jpg)
HOLFING
![](https://ids.lib.harvard.edu/ids/iiif/16077487/527,620,38,15/full/0/native.jpg)
By
![](https://ids.lib.harvard.edu/ids/iiif/16077487/383,282,40,18/full/0/native.jpg)
DRUCS
![](https://ids.lib.harvard.edu/ids/iiif/16077487/718,685,12,7/full/0/native.jpg)
SE
![](https://ids.lib.harvard.edu/ids/iiif/16077487/190,426,59,10/full/0/native.jpg)
TEA-DINNER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/165,426,84,10/full/0/native.jpg)
LUXCH- TEA-DINNER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/165,427,30,9/full/0/native.jpg)
LUXCH-
![](https://ids.lib.harvard.edu/ids/iiif/16077487/450,609,66,28/full/0/native.jpg)
EDANGE
![](https://ids.lib.harvard.edu/ids/iiif/16077487/166,375,84,28/full/0/native.jpg)
LACASABIOIN
![](https://ids.lib.harvard.edu/ids/iiif/16077487/831,111,18,240/full/0/native.jpg)
VIC-MORIA
![](https://ids.lib.harvard.edu/ids/iiif/16077487/95,481,11,7/full/0/native.jpg)
WE
![](https://ids.lib.harvard.edu/ids/iiif/16077487/271,190,44,39/full/0/native.jpg)
HOLFINS
![](https://ids.lib.harvard.edu/ids/iiif/16077487/383,301,35,13/full/0/native.jpg)
LICUNOS
![](https://ids.lib.harvard.edu/ids/iiif/16077487/167,170,615,520/full/0/native.jpg)
MOLFINO'S
PHARMACY
RESTAURANT
NO
DANGER
NO PARKING
SFPD
![](https://ids.lib.harvard.edu/ids/iiif/16077487/184,170,86,28/full/0/native.jpg)
MOLFINO'S
![](https://ids.lib.harvard.edu/ids/iiif/16077487/172,192,97,28/full/0/native.jpg)
PHARMACY
![](https://ids.lib.harvard.edu/ids/iiif/16077487/167,400,88,29/full/0/native.jpg)
RESTAURANT
![](https://ids.lib.harvard.edu/ids/iiif/16077487/524,607,22,16/full/0/native.jpg)
NO
![](https://ids.lib.harvard.edu/ids/iiif/16077487/670,634,102,28/full/0/native.jpg)
DANGER
![](https://ids.lib.harvard.edu/ids/iiif/16077487/693,658,89,32/full/0/native.jpg)
PARKING
![](https://ids.lib.harvard.edu/ids/iiif/16077487/530,629,39,21/full/0/native.jpg)
SFPD