Machine Generated Data
Tags
Amazon
created on 2019-11-19
City | 97.4 | |
| ||
Building | 97.4 | |
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Town | 97.4 | |
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Urban | 97.4 | |
| ||
Metropolis | 97.4 | |
| ||
High Rise | 92 | |
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Road | 91.7 | |
| ||
Office Building | 84.6 | |
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Nature | 78.3 | |
| ||
Architecture | 77.1 | |
| ||
Steeple | 77.1 | |
| ||
Spire | 77.1 | |
| ||
Tower | 77.1 | |
| ||
Pedestrian | 76.3 | |
| ||
Outdoors | 70.8 | |
| ||
Asphalt | 65.8 | |
| ||
Tarmac | 65.8 | |
| ||
Transportation | 62.5 | |
| ||
Vehicle | 59.9 | |
| ||
Street | 59.5 | |
| ||
Apartment Building | 59.3 | |
| ||
Intersection | 57.9 | |
| ||
Condo | 57.4 | |
| ||
Housing | 57.4 | |
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Neighborhood | 57 | |
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Path | 56.6 | |
|
Clarifai
created on 2019-11-19
Imagga
created on 2019-11-19
Google
created on 2019-11-19
White | 97.6 | |
| ||
Black | 95.6 | |
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Metropolis | 93.3 | |
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Black-and-white | 89.5 | |
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City | 88.8 | |
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Metropolitan area | 88 | |
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Human settlement | 87.9 | |
| ||
Architecture | 87.6 | |
| ||
Skyscraper | 86 | |
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Building | 82.9 | |
| ||
Monochrome | 82.6 | |
| ||
Urban area | 82.1 | |
| ||
Monochrome photography | 76.2 | |
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Photography | 67.8 | |
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Downtown | 66.6 | |
| ||
Skyline | 61.5 | |
| ||
Cityscape | 58.7 | |
| ||
Style | 57.1 | |
| ||
Street | 54.6 | |
| ||
Tower block | 51.8 | |
|
Microsoft
created on 2019-11-19
building | 99.7 | |
| ||
text | 98.5 | |
| ||
skyscraper | 98 | |
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black and white | 95.1 | |
| ||
outdoor | 91.6 | |
| ||
street | 88.3 | |
| ||
sky | 88.1 | |
| ||
monochrome | 81.5 | |
| ||
window | 73.8 | |
| ||
tower | 60.5 | |
| ||
way | 58.7 | |
| ||
city | 57 | |
| ||
sidewalk | 47.8 | |
|
Color Analysis
Categories
Imagga
streetview architecture | 98.3% | |
| ||
paintings art | 1.3% | |
|
Captions
Microsoft
created on 2019-11-19
a tall building in a city | 90.8% | |
| ||
a black and white photo of a city | 84.5% | |
| ||
a tall building | 84.4% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14177712/66,764,46,15/full/0/native.jpg)
TUDOR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/250,939,50,14/full/0/native.jpg)
E39ST
![](https://ids.lib.harvard.edu/ids/iiif/14177712/61,850,82,25/full/0/native.jpg)
FURRIER
![](https://ids.lib.harvard.edu/ids/iiif/14177712/65,762,82,16/full/0/native.jpg)
TUDOR CITy
![](https://ids.lib.harvard.edu/ids/iiif/14177712/57,821,97,24/full/0/native.jpg)
IRILORING
![](https://ids.lib.harvard.edu/ids/iiif/14177712/123,999,128,19/full/0/native.jpg)
DELICATESSEN
![](https://ids.lib.harvard.edu/ids/iiif/14177712/181,945,118,23/full/0/native.jpg)
HAIR E39ST
![](https://ids.lib.harvard.edu/ids/iiif/14177712/114,755,34,16/full/0/native.jpg)
CITy
![](https://ids.lib.harvard.edu/ids/iiif/14177712/124,987,128,31/full/0/native.jpg)
DELICATESSEN MURRAY
![](https://ids.lib.harvard.edu/ids/iiif/14177712/182,947,47,18/full/0/native.jpg)
HAIR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/152,988,46,10/full/0/native.jpg)
MURRAY
![](https://ids.lib.harvard.edu/ids/iiif/14177712/185,921,64,24/full/0/native.jpg)
Richch
![](https://ids.lib.harvard.edu/ids/iiif/14177712/63,787,89,27/full/0/native.jpg)
1aunDouy
![](https://ids.lib.harvard.edu/ids/iiif/14177712/64,758,55,31/full/0/native.jpg)
TUDOR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/63,811,101,42/full/0/native.jpg)
TAiLORinG
![](https://ids.lib.harvard.edu/ids/iiif/14177712/185,924,70,34/full/0/native.jpg)
Richca
![](https://ids.lib.harvard.edu/ids/iiif/14177712/260,935,26,26/full/0/native.jpg)
39
![](https://ids.lib.harvard.edu/ids/iiif/14177712/204,992,25,14/full/0/native.jpg)
HILL
![](https://ids.lib.harvard.edu/ids/iiif/14177712/126,1001,127,27/full/0/native.jpg)
DELICATESSEN
![](https://ids.lib.harvard.edu/ids/iiif/14177712/288,1004,22,10/full/0/native.jpg)
CLEAN
![](https://ids.lib.harvard.edu/ids/iiif/14177712/310,1004,19,11/full/0/native.jpg)
YOUR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/292,1013,33,10/full/0/native.jpg)
SIDEWALK
![](https://ids.lib.harvard.edu/ids/iiif/14177712/61,752,610,276/full/0/native.jpg)
TUDOR CITY
LAUNDRY
TAiLORinG
PURRIGR
Richca 39 ST
HAIR
MURRAY HILL
THE LAW
DELICATESSEN
CLEAN YOUR
SIDEWALK
LE
![](https://ids.lib.harvard.edu/ids/iiif/14177712/118,752,35,26/full/0/native.jpg)
CITY
![](https://ids.lib.harvard.edu/ids/iiif/14177712/61,777,98,47/full/0/native.jpg)
LAUNDRY
![](https://ids.lib.harvard.edu/ids/iiif/14177712/66,844,90,36/full/0/native.jpg)
PURRIGR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/280,938,23,26/full/0/native.jpg)
ST
![](https://ids.lib.harvard.edu/ids/iiif/14177712/182,949,53,28/full/0/native.jpg)
HAIR
![](https://ids.lib.harvard.edu/ids/iiif/14177712/156,991,47,14/full/0/native.jpg)
MURRAY
![](https://ids.lib.harvard.edu/ids/iiif/14177712/290,991,18,11/full/0/native.jpg)
THE
![](https://ids.lib.harvard.edu/ids/iiif/14177712/309,991,19,11/full/0/native.jpg)
LAW
![](https://ids.lib.harvard.edu/ids/iiif/14177712/652,814,19,65/full/0/native.jpg)
LE