Machine Generated Data
Tags
Amazon
created on 2019-06-07
Clarifai
created on 2019-06-07
Imagga
created on 2019-06-07
private | 79.1 | |
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snow | 27.5 | |
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graffito | 26.5 | |
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winter | 22.1 | |
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uniform | 21.1 | |
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stretcher | 20.1 | |
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cold | 18.1 | |
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decoration | 17.7 | |
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man | 17.5 | |
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military uniform | 16.3 | |
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litter | 16 | |
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military | 15.5 | |
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tree | 14.6 | |
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grunge | 14.5 | |
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clothing | 14.2 | |
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people | 13.9 | |
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black | 13.8 | |
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soldier | 13.7 | |
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danger | 13.6 | |
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dirty | 13.6 | |
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male | 13.5 | |
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gun | 13.3 | |
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park | 13.2 | |
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conveyance | 12.9 | |
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outdoor | 12.2 | |
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weapon | 12 | |
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landscape | 11.9 | |
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old | 11.8 | |
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city | 11.6 | |
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walking | 11.4 | |
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outdoors | 11.2 | |
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season | 10.9 | |
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war | 10.6 | |
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forest | 10.4 | |
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protection | 10 | |
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sport | 10 | |
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rifle | 9.9 | |
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snowy | 9.7 | |
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mask | 9.6 | |
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covering | 9.3 | |
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street | 9.2 | |
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wood | 9.2 | |
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travel | 9.1 | |
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person | 9.1 | |
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camouflage | 9.1 | |
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vintage | 9.1 | |
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industrial | 9.1 | |
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toxic | 8.8 | |
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army | 8.8 | |
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gas | 8.7 | |
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scene | 8.7 | |
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scenery | 8.1 | |
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trees | 8 | |
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accident | 7.8 | |
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adult | 7.8 | |
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nuclear | 7.8 | |
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frozen | 7.6 | |
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walk | 7.6 | |
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power | 7.6 | |
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bench | 7.3 | |
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rough | 7.3 | |
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recreation | 7.2 | |
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paper | 7.1 | |
|
Google
created on 2019-06-07
Troop | 94.3 | |
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Infantry | 94.2 | |
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Soldier | 93.7 | |
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Military organization | 93.6 | |
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Military | 93.2 | |
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Military uniform | 89.7 | |
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Army | 86.3 | |
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Marching | 85.9 | |
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Uniform | 75.5 | |
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Military rank | 67.4 | |
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Military person | 65.7 | |
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Team | 64.1 | |
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Non-commissioned officer | 63 | |
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Army men | 62.5 | |
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Military officer | 60.3 | |
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Grenadier | 59.6 | |
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Organization | 50.7 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43363522/941,280,16,35/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Male, 50.1% |
Calm | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Disgusted | 50.2% |
Confused | 49.5% |
Sad | 49.6% |
Surprised | 49.5% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43363522/468,306,190,260/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/922,261,90,335/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/688,348,199,217/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/267,320,179,235/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/50,323,172,235/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/622,324,61,127/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/357,317,110,164/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/663,337,59,148/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/159,322,135,166/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/104,317,165,219/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/43363522/201,306,83,144/full/0/native.jpg)
Person | 99.8% | |
|
Categories
Imagga
paintings art | 90.8% | |
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pets animals | 7.3% | |
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nature landscape | 1.5% | |
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Captions
Microsoft
created on 2019-06-07
a group of people riding on the back of an old building | 78.2% | |
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a group of people posing for a photo | 78.1% | |
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a group of people pose for a photo | 78% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43363522/129,613,76,20/full/0/native.jpg)
Exercices
![](https://ids.lib.harvard.edu/ids/iiif/43363522/751,604,98,19/full/0/native.jpg)
Mouvements
![](https://ids.lib.harvard.edu/ids/iiif/43363522/334,612,28,16/full/0/native.jpg)
des
![](https://ids.lib.harvard.edu/ids/iiif/43363522/611,607,39,18/full/0/native.jpg)
Ville
![](https://ids.lib.harvard.edu/ids/iiif/43363522/222,612,111,19/full/0/native.jpg)
Entrainement
![](https://ids.lib.harvard.edu/ids/iiif/43363522/676,605,51,20/full/0/native.jpg)
Paris.
![](https://ids.lib.harvard.edu/ids/iiif/43363522/221,609,768,24/full/0/native.jpg)
Entrainement des SAPEURS- -POMPIERS de la Ville de Paris. Mouvements d'assouplissement
![](https://ids.lib.harvard.edu/ids/iiif/43363522/857,602,133,22/full/0/native.jpg)
d'assouplissement
![](https://ids.lib.harvard.edu/ids/iiif/43363522/569,608,21,16/full/0/native.jpg)
de
![](https://ids.lib.harvard.edu/ids/iiif/43363522/363,608,97,20/full/0/native.jpg)
SAPEURS-
![](https://ids.lib.harvard.edu/ids/iiif/43363522/591,608,19,16/full/0/native.jpg)
la
![](https://ids.lib.harvard.edu/ids/iiif/43363522/206,613,17,19/full/0/native.jpg)
d
![](https://ids.lib.harvard.edu/ids/iiif/43363522/70,615,152,24/full/0/native.jpg)
2150 Exercices d
![](https://ids.lib.harvard.edu/ids/iiif/43363522/461,607,103,21/full/0/native.jpg)
-POMPIERS
![](https://ids.lib.harvard.edu/ids/iiif/43363522/71,618,44,19/full/0/native.jpg)
2150
![](https://ids.lib.harvard.edu/ids/iiif/43363522/171,636,35,19/full/0/native.jpg)
m
![](https://ids.lib.harvard.edu/ids/iiif/43363522/76,603,916,37/full/0/native.jpg)
Exercices d'Entrainement des SAPEURS-POMPIE RS de la Ville de Paris. - Mouvements d'assouplissement
2I50
![](https://ids.lib.harvard.edu/ids/iiif/43363522/133,618,74,19/full/0/native.jpg)
Exercices
![](https://ids.lib.harvard.edu/ids/iiif/43363522/210,615,126,21/full/0/native.jpg)
d'Entrainement
![](https://ids.lib.harvard.edu/ids/iiif/43363522/338,616,26,18/full/0/native.jpg)
des
![](https://ids.lib.harvard.edu/ids/iiif/43363522/366,613,179,21/full/0/native.jpg)
SAPEURS-POMPIE
![](https://ids.lib.harvard.edu/ids/iiif/43363522/545,613,25,18/full/0/native.jpg)
RS
![](https://ids.lib.harvard.edu/ids/iiif/43363522/573,612,20,18/full/0/native.jpg)
de
![](https://ids.lib.harvard.edu/ids/iiif/43363522/595,612,17,18/full/0/native.jpg)
la
![](https://ids.lib.harvard.edu/ids/iiif/43363522/616,611,38,19/full/0/native.jpg)
Ville
![](https://ids.lib.harvard.edu/ids/iiif/43363522/678,609,49,19/full/0/native.jpg)
Paris.
![](https://ids.lib.harvard.edu/ids/iiif/43363522/732,618,20,6/full/0/native.jpg)
-
![](https://ids.lib.harvard.edu/ids/iiif/43363522/755,609,98,18/full/0/native.jpg)
Mouvements
![](https://ids.lib.harvard.edu/ids/iiif/43363522/857,603,135,26/full/0/native.jpg)
d'assouplissement
![](https://ids.lib.harvard.edu/ids/iiif/43363522/76,623,41,17/full/0/native.jpg)
2I50