Machine Generated Data
Tags
Amazon
created on 2019-04-05
Clarifai
created on 2018-03-22
Imagga
created on 2018-03-22
military uniform | 46.6 | |
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uniform | 43.4 | |
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snow | 32.4 | |
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clothing | 31.2 | |
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man | 25.5 | |
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person | 24.6 | |
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male | 19.9 | |
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weather | 19.5 | |
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covering | 19.2 | |
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consumer goods | 18.9 | |
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outdoor | 18.4 | |
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forest | 17.4 | |
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park | 17.3 | |
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private | 16.7 | |
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farmer | 16.4 | |
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people | 15.6 | |
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adult | 15.6 | |
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tree | 15.5 | |
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outdoors | 14.2 | |
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soldier | 13.7 | |
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military | 13.5 | |
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active | 12.6 | |
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autumn | 12.3 | |
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sport | 12.3 | |
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danger | 11.8 | |
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walking | 11.4 | |
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landscape | 11.2 | |
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dirty | 10.8 | |
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activity | 10.7 | |
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trees | 10.7 | |
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men | 10.3 | |
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rifle | 10.2 | |
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protection | 10 | |
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recreation | 9.9 | |
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weapon | 9.8 | |
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portrait | 9.7 | |
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boy | 9.6 | |
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scene | 9.5 | |
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grass | 9.5 | |
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commodity | 9.2 | |
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field | 9.2 | |
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vintage | 9.1 | |
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camouflage | 9.1 | |
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old | 9.1 | |
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black | 9 | |
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toxic | 8.8 | |
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army | 8.8 | |
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outside | 8.6 | |
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free | 8.4 | |
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power | 8.4 | |
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summer | 8.4 | |
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leisure | 8.3 | |
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sky | 8.3 | |
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gun | 8.3 | |
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environment | 8.2 | |
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world | 8.2 | |
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history | 8 | |
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natural | 8 | |
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destruction | 7.8 | |
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mask | 7.8 | |
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play | 7.8 | |
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gas | 7.7 | |
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hiking | 7.7 | |
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war | 7.7 | |
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grunge | 7.7 | |
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walk | 7.6 | |
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path | 7.6 | |
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dark | 7.5 | |
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human | 7.5 | |
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juvenile | 7.5 | |
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countryside | 7.3 | |
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helmet | 7.2 | |
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adolescent | 7.1 | |
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country | 7 | |
|
Google
created on 2018-03-22
soldier | 92.9 | |
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black and white | 92.3 | |
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troop | 85.5 | |
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army | 83.1 | |
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infantry | 81.2 | |
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military organization | 79.3 | |
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monochrome photography | 76.4 | |
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monochrome | 71.7 | |
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militia | 68.6 | |
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tree | 67.4 | |
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military | 57.6 | |
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military camouflage | 56 | |
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marines | 55.5 | |
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military person | 54.8 | |
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Color Analysis
Feature analysis
Categories
Imagga
nature landscape | 86.7% | |
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paintings art | 11.3% | |
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streetview architecture | 1.9% | |
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Captions
Microsoft
created on 2018-03-22
an old photo of a person | 84.3% | |
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old photo of a person | 80.4% | |
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a black and white photo of a person | 73.6% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/16084277/185,677,37,19/full/0/native.jpg)
ae
![](https://ids.lib.harvard.edu/ids/iiif/16084277/62,682,25,13/full/0/native.jpg)
out
![](https://ids.lib.harvard.edu/ids/iiif/16084277/14,698,26,10/full/0/native.jpg)
n.
![](https://ids.lib.harvard.edu/ids/iiif/16084277/18,707,50,13/full/0/native.jpg)
arnn d
![](https://ids.lib.harvard.edu/ids/iiif/16084277/7,681,214,22/full/0/native.jpg)
Loberg out out Yhnyl Cuioh ae
![](https://ids.lib.harvard.edu/ids/iiif/16084277/17,706,92,15/full/0/native.jpg)
arnn d /990
![](https://ids.lib.harvard.edu/ids/iiif/16084277/8,682,74,18/full/0/native.jpg)
Loberg out
![](https://ids.lib.harvard.edu/ids/iiif/16084277/94,679,45,21/full/0/native.jpg)
Yhnyl
![](https://ids.lib.harvard.edu/ids/iiif/16084277/71,706,39,15/full/0/native.jpg)
/990
![](https://ids.lib.harvard.edu/ids/iiif/16084277/910,675,63,17/full/0/native.jpg)
amnes
![](https://ids.lib.harvard.edu/ids/iiif/16084277/846,676,126,18/full/0/native.jpg)
Beibarc amnes
![](https://ids.lib.harvard.edu/ids/iiif/16084277/847,676,57,18/full/0/native.jpg)
Beibarc
![](https://ids.lib.harvard.edu/ids/iiif/16084277/146,680,50,11/full/0/native.jpg)
Cuioh