Machine Generated Data
Tags
Amazon
created on 2019-11-19
Building | 96.2 | |
| ||
Urban | 96.2 | |
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High Rise | 96.2 | |
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City | 96.2 | |
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Town | 96.2 | |
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Office Building | 95.9 | |
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Metropolis | 94.5 | |
| ||
Neighborhood | 91.1 | |
| ||
Outdoors | 90.6 | |
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Nature | 90.5 | |
| ||
Architecture | 78.4 | |
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Tower | 78.3 | |
| ||
Steeple | 73.2 | |
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Spire | 73.2 | |
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Countryside | 72.8 | |
| ||
Rural | 72.8 | |
| ||
Shelter | 72.8 | |
| ||
Housing | 69.7 | |
| ||
Condo | 69.7 | |
| ||
Landscape | 69.3 | |
| ||
Road | 68.3 | |
| ||
Apartment Building | 66.5 | |
| ||
Brick | 62.7 | |
| ||
Downtown | 59.3 | |
| ||
Scenery | 56.9 | |
| ||
Transportation | 56.5 | |
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Vehicle | 56.5 | |
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Intersection | 55.7 | |
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Aerial View | 55.4 | |
|
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
Google
created on 2019-11-19
White | 95.9 | |
| ||
Metropolis | 93.6 | |
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Architecture | 91.1 | |
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Building | 90.4 | |
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City | 89.7 | |
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Metropolitan area | 88.6 | |
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Human settlement | 87.6 | |
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Skyscraper | 84.9 | |
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Urban area | 84.7 | |
| ||
Tower block | 84.1 | |
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Black-and-white | 80.7 | |
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Condominium | 76.9 | |
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Monochrome | 70.2 | |
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Commercial building | 65.6 | |
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Mixed-use | 65.3 | |
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Downtown | 65 | |
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Photography | 62.4 | |
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Apartment | 61.7 | |
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Monochrome photography | 57.8 | |
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Facade | 56.5 | |
|
Microsoft
created on 2019-11-19
building | 99.9 | |
| ||
city | 98 | |
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outdoor | 97.8 | |
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text | 96.3 | |
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black and white | 90.3 | |
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sky | 89.1 | |
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street | 85.8 | |
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tower | 83.5 | |
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downtown | 81.2 | |
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window | 79.8 | |
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monochrome | 52.6 | |
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skyscraper | 15.6 | |
|
Color Analysis
Categories
Imagga
streetview architecture | 100% | |
|
Captions
Microsoft
created on 2019-11-19
a tall building in a city | 93.3% | |
| ||
a sign on the side of a building | 91.1% | |
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a large white building in a city | 90.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14177731/508,652,86,31/full/0/native.jpg)
CIGARS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/491,697,70,25/full/0/native.jpg)
TELEPHONE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/511,615,94,33/full/0/native.jpg)
SCHULTE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/479,823,117,52/full/0/native.jpg)
Childs
![](https://ids.lib.harvard.edu/ids/iiif/14177731/220,602,29,18/full/0/native.jpg)
CE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/492,614,20,32/full/0/native.jpg)
A
![](https://ids.lib.harvard.edu/ids/iiif/14177731/265,689,106,29/full/0/native.jpg)
Newsweek
![](https://ids.lib.harvard.edu/ids/iiif/14177731/561,710,45,21/full/0/native.jpg)
BODTHS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/222,556,29,19/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/14177731/337,599,30,18/full/0/native.jpg)
C
![](https://ids.lib.harvard.edu/ids/iiif/14177731/380,698,226,41/full/0/native.jpg)
CC TELEPHONE BODTHS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/182,601,228,20/full/0/native.jpg)
CE CE E C E
![](https://ids.lib.harvard.edu/ids/iiif/14177731/220,625,29,18/full/0/native.jpg)
FE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/177,690,235,30/full/0/native.jpg)
CC Newsweek EE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/383,693,29,18/full/0/native.jpg)
EE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/180,655,413,45/full/0/native.jpg)
EE FE CIGARS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/177,696,29,19/full/0/native.jpg)
CC
![](https://ids.lib.harvard.edu/ids/iiif/14177731/182,611,423,49/full/0/native.jpg)
FE FE C CO FE E A SCHULTE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/184,557,144,19/full/0/native.jpg)
CE E E CE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/250,67,21,17/full/0/native.jpg)
cE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/296,646,28,19/full/0/native.jpg)
Er
![](https://ids.lib.harvard.edu/ids/iiif/14177731/217,647,148,19/full/0/native.jpg)
E nr Er ne
![](https://ids.lib.harvard.edu/ids/iiif/14177731/257,647,30,18/full/0/native.jpg)
nr
![](https://ids.lib.harvard.edu/ids/iiif/14177731/297,622,30,19/full/0/native.jpg)
CO
![](https://ids.lib.harvard.edu/ids/iiif/14177731/223,534,103,18/full/0/native.jpg)
C FE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/334,646,31,18/full/0/native.jpg)
ne
![](https://ids.lib.harvard.edu/ids/iiif/14177731/224,513,29,18/full/0/native.jpg)
r
![](https://ids.lib.harvard.edu/ids/iiif/14177731/157,613,453,272/full/0/native.jpg)
ASCHULTE
CIGARS
ELEPHONE BOOTHS
FF E
newsweek EE
MAGAINE of NEWSSiGICANCE
Crilde
шиШШ
![](https://ids.lib.harvard.edu/ids/iiif/14177731/487,613,121,60/full/0/native.jpg)
ASCHULTE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/508,657,89,43/full/0/native.jpg)
CIGARS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/483,698,82,40/full/0/native.jpg)
ELEPHONE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/561,716,49,28/full/0/native.jpg)
BOOTHS
![](https://ids.lib.harvard.edu/ids/iiif/14177731/184,677,26,18/full/0/native.jpg)
FF
![](https://ids.lib.harvard.edu/ids/iiif/14177731/223,677,16,18/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/14177731/262,690,110,37/full/0/native.jpg)
newsweek
![](https://ids.lib.harvard.edu/ids/iiif/14177731/379,690,39,35/full/0/native.jpg)
EE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/260,718,43,17/full/0/native.jpg)
MAGAINE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/299,719,13,17/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/14177731/310,719,69,19/full/0/native.jpg)
NEWSSiGICANCE
![](https://ids.lib.harvard.edu/ids/iiif/14177731/487,823,114,62/full/0/native.jpg)
Crilde
![](https://ids.lib.harvard.edu/ids/iiif/14177731/157,844,36,16/full/0/native.jpg)
шиШШ