Machine Generated Data
Tags
Amazon
created on 2019-06-05
Clarifai
created on 2019-06-05
people | 97.6 | |
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administration | 95.6 | |
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architecture | 95.1 | |
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no person | 94.6 | |
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building | 94.2 | |
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91.8 | ||
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many | 91.7 | |
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group | 90.3 | |
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castle | 89.7 | |
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art | 88.6 | |
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government | 87.9 | |
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town | 87.5 | |
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home | 86.9 | |
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sepia | 86.5 | |
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square | 86 | |
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old | 84 | |
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military | 83.4 | |
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street | 81.9 | |
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group together | 80.9 | |
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monochrome | 80.3 | |
|
Imagga
created on 2019-06-05
palace | 100 | |
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residence | 100 | |
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house | 83.5 | |
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building | 73.7 | |
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dwelling | 53.8 | |
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architecture | 43.8 | |
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structure | 37.8 | |
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city | 34.1 | |
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housing | 27.1 | |
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travel | 24 | |
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sky | 23.6 | |
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tourism | 21.5 | |
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historic | 20.2 | |
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landscape | 17.9 | |
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urban | 17.5 | |
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old | 17.4 | |
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river | 16.9 | |
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town | 16.7 | |
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landmark | 16.3 | |
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university | 15.9 | |
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historical | 14.1 | |
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exterior | 12.9 | |
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water | 12 | |
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stone | 12 | |
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tourist | 11.8 | |
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castle | 11.8 | |
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royal | 11.6 | |
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flag | 11 | |
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national | 10.9 | |
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history | 10.7 | |
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scenic | 10.5 | |
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buildings | 10.4 | |
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sunny | 10.3 | |
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summer | 10.3 | |
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famous | 10.2 | |
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day | 10.2 | |
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street | 10.1 | |
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maze | 10.1 | |
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park | 9.9 | |
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england | 9.5 | |
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ancient | 9.5 | |
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sea | 9.4 | |
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monument | 9.4 | |
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place | 9.3 | |
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facade | 9 | |
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wall | 8.7 | |
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residential | 8.6 | |
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cloud | 8.6 | |
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construction | 8.6 | |
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square | 8.2 | |
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brick | 8.1 | |
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grass | 7.9 | |
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scene | 7.8 | |
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museum | 7.8 | |
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tree | 7.7 | |
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cityscape | 7.6 | |
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trip | 7.6 | |
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vacation | 7.4 | |
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column | 7.2 | |
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home | 7.2 | |
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dome | 7.2 | |
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sand | 7.1 | |
|
Google
created on 2019-06-05
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20665060/340,470,12,33/full/0/native.jpg)
Person | 70.7% | |
|
Categories
Imagga
cars vehicles | 56.5% | |
| ||
beaches seaside | 19.8% | |
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nature landscape | 15.9% | |
| ||
streetview architecture | 5.2% | |
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paintings art | 1.2% | |
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sunrises sunsets | 1.2% | |
|
Captions
Microsoft
created on 2019-06-05
a vintage photo of an old building | 90.5% | |
| ||
a vintage photo of a large building | 90.4% | |
| ||
a vintage photo of a building | 90.3% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20665060/677,327,82,25/full/0/native.jpg)
ssssss
![](https://ids.lib.harvard.edu/ids/iiif/20665060/675,323,281,32/full/0/native.jpg)
ssssss Tsss.
![](https://ids.lib.harvard.edu/ids/iiif/20665060/135,530,608,78/full/0/native.jpg)
OMOm
![](https://ids.lib.harvard.edu/ids/iiif/20665060/245,308,34,23/full/0/native.jpg)
AA
![](https://ids.lib.harvard.edu/ids/iiif/20665060/868,316,89,28/full/0/native.jpg)
Tsss.
![](https://ids.lib.harvard.edu/ids/iiif/20665060/675,353,74,46/full/0/native.jpg)
LE
![](https://ids.lib.harvard.edu/ids/iiif/20665060/297,491,233,55/full/0/native.jpg)
It
![](https://ids.lib.harvard.edu/ids/iiif/20665060/44,308,916,472/full/0/native.jpg)
JOHN WORTHY
TTSS
CHICACO
72 1e
![](https://ids.lib.harvard.edu/ids/iiif/20665060/772,308,34,18/full/0/native.jpg)
JOHN
![](https://ids.lib.harvard.edu/ids/iiif/20665060/803,308,41,18/full/0/native.jpg)
WORTHY
![](https://ids.lib.harvard.edu/ids/iiif/20665060/873,324,87,24/full/0/native.jpg)
TTSS
![](https://ids.lib.harvard.edu/ids/iiif/20665060/115,535,460,114/full/0/native.jpg)
CHICACO
![](https://ids.lib.harvard.edu/ids/iiif/20665060/44,755,30,25/full/0/native.jpg)
72
![](https://ids.lib.harvard.edu/ids/iiif/20665060/61,755,43,25/full/0/native.jpg)
1e