Machine Generated Data
Tags
Amazon
created on 2019-11-19
Nature | 98.6 | |
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Metropolis | 96 | |
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City | 96 | |
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Building | 96 | |
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Town | 96 | |
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Urban | 96 | |
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Office Building | 91.2 | |
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Fog | 86.7 | |
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Smoke | 83 | |
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High Rise | 79.1 | |
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Architecture | 65.3 | |
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Outdoors | 65.2 | |
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Neighborhood | 65.2 | |
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Smog | 60.9 | |
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Pollution | 57.4 | |
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Tower | 55.9 | |
|
Clarifai
created on 2019-11-19
architecture | 96.7 | |
| ||
city | 94.5 | |
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no person | 93.9 | |
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business | 93.9 | |
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building | 93.4 | |
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office | 87.5 | |
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street | 87.1 | |
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monochrome | 86.8 | |
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modern | 86.5 | |
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people | 86.4 | |
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skyscraper | 86.2 | |
| ||
travel | 85.2 | |
| ||
urban | 83.3 | |
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outdoors | 82.7 | |
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illustration | 82 | |
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window | 81.8 | |
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cityscape | 80.3 | |
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house | 79.7 | |
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family | 79.3 | |
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wall | 79.2 | |
|
Imagga
created on 2019-11-19
Google
created on 2019-11-19
White | 96.3 | |
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Human settlement | 88.1 | |
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Atmospheric phenomenon | 85.7 | |
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City | 85.3 | |
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Skyscraper | 76.2 | |
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Black-and-white | 74.4 | |
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Architecture | 72.6 | |
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Photography | 67.8 | |
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Skyline | 66.8 | |
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Tower block | 64.1 | |
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Metropolis | 60.3 | |
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Cityscape | 55.7 | |
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Monochrome | 54.4 | |
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Style | 51 | |
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Building | 50.8 | |
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Rectangle | 50.5 | |
|
Microsoft
created on 2019-11-19
skyscraper | 98.5 | |
| ||
text | 98 | |
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fog | 95.4 | |
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building | 94.6 | |
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black and white | 93.4 | |
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sky | 81.6 | |
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monochrome | 79.9 | |
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white | 71.4 | |
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tower | 55 | |
|
Color Analysis
Categories
Imagga
interior objects | 78.6% | |
| ||
paintings art | 15.7% | |
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streetview architecture | 4.9% | |
|
Captions
Microsoft
created on 2019-11-19
a black and white photo of a building | 74.3% | |
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a person standing in front of a building | 65.1% | |
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a black and white photo of a person | 58.8% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/14240771/9,463,85,29/full/0/native.jpg)
TORES
![](https://ids.lib.harvard.edu/ids/iiif/14240771/1,541,87,26/full/0/native.jpg)
STINESCO.
![](https://ids.lib.harvard.edu/ids/iiif/14240771/66,565,38,11/full/0/native.jpg)
4520
![](https://ids.lib.harvard.edu/ids/iiif/14240771/51,499,50,11/full/0/native.jpg)
CAPACITY
![](https://ids.lib.harvard.edu/ids/iiif/14240771/36,522,41,10/full/0/native.jpg)
STRAN
![](https://ids.lib.harvard.edu/ids/iiif/14240771/4,432,82,30/full/0/native.jpg)
fTS
![](https://ids.lib.harvard.edu/ids/iiif/14240771/3,413,112,177/full/0/native.jpg)
andings
FOFTS
TORES
LOOR CAPACrY
HT SERVIDE
LIVE STEAN
STINE&CO.
1ST ALG20
![](https://ids.lib.harvard.edu/ids/iiif/14240771/10,500,45,18/full/0/native.jpg)
LOOR
![](https://ids.lib.harvard.edu/ids/iiif/14240771/16,514,24,16/full/0/native.jpg)
HT
![](https://ids.lib.harvard.edu/ids/iiif/14240771/39,511,45,18/full/0/native.jpg)
SERVIDE
![](https://ids.lib.harvard.edu/ids/iiif/14240771/5,521,33,18/full/0/native.jpg)
LIVE
![](https://ids.lib.harvard.edu/ids/iiif/14240771/36,521,43,19/full/0/native.jpg)
STEAN
![](https://ids.lib.harvard.edu/ids/iiif/14240771/3,538,108,37/full/0/native.jpg)
STINE&CO.
![](https://ids.lib.harvard.edu/ids/iiif/14240771/32,413,74,28/full/0/native.jpg)
andings
![](https://ids.lib.harvard.edu/ids/iiif/14240771/3,437,83,38/full/0/native.jpg)
FOFTS
![](https://ids.lib.harvard.edu/ids/iiif/14240771/10,464,96,38/full/0/native.jpg)
TORES
![](https://ids.lib.harvard.edu/ids/iiif/14240771/54,497,61,21/full/0/native.jpg)
CAPACrY
![](https://ids.lib.harvard.edu/ids/iiif/14240771/4,571,36,19/full/0/native.jpg)
1ST
![](https://ids.lib.harvard.edu/ids/iiif/14240771/39,565,74,23/full/0/native.jpg)
ALG20