Machine Generated Data
Tags
Amazon
created on 2019-07-06
Clarifai
created on 2019-07-06
Imagga
created on 2019-07-06
currency | 56.6 | |
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money | 56.2 | |
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cash | 52.2 | |
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comic book | 44 | |
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finance | 44 | |
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bank | 36.7 | |
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banking | 35.9 | |
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wealth | 34.1 | |
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paper | 32.9 | |
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business | 32.2 | |
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financial | 31.2 | |
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banknote | 31.1 | |
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bill | 27.6 | |
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note | 27.6 | |
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exchange | 26.7 | |
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banknotes | 25.5 | |
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dollar | 23.2 | |
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pay | 23 | |
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economy | 22.3 | |
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payment | 21.2 | |
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investment | 20.2 | |
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savings | 19.6 | |
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rich | 19.6 | |
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print media | 17.6 | |
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notes | 17.3 | |
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handkerchief | 16.6 | |
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commerce | 15.9 | |
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bills | 15.6 | |
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hundred | 15.5 | |
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dollars | 15.5 | |
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stock | 14 | |
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shopping | 13.8 | |
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ten | 13.8 | |
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gambling | 13.6 | |
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cotton | 13.5 | |
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change | 13.5 | |
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piece of cloth | 13.3 | |
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buy | 13.2 | |
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twenty | 12.8 | |
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profit | 12.4 | |
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market | 12.4 | |
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success | 12.1 | |
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fifty | 11.8 | |
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rate | 11.7 | |
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union | 11.6 | |
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loan | 11.5 | |
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trade | 11.5 | |
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save | 11.4 | |
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poker | 10.8 | |
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symbol | 10.8 | |
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gamble | 10.7 | |
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casino | 10.7 | |
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old | 10.5 | |
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fabric | 10.4 | |
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cards | 9.7 | |
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paying | 9.7 | |
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sell | 9.7 | |
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debt | 9.6 | |
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coin | 9.5 | |
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graffito | 9.4 | |
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card | 9.4 | |
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envelope | 8.9 | |
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50 | 8.9 | |
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monetary | 8.8 | |
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interest | 8.8 | |
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playing | 8.2 | |
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collection | 8.1 | |
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close | 8 | |
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country | 7.9 | |
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foreign | 7.9 | |
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wealthy | 7.8 | |
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income | 7.8 | |
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fortune | 7.7 | |
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decoration | 7.7 | |
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pound | 7.7 | |
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luck | 7.7 | |
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credit | 7.7 | |
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price | 7.7 | |
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container | 7.5 | |
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treasury | 7.4 | |
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house of cards | 7.4 | |
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global | 7.3 | |
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world | 7.2 | |
|
Google
created on 2019-07-06
Illustration | 88.7 | |
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Cartoon | 84.6 | |
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Art | 84 | |
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Comics | 82.4 | |
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Fiction | 79.1 | |
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Fictional character | 58.6 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18720219/239,273,11,14/full/0/native.jpg)
AWS Rekognition
Age | 26-44 |
Gender | Female, 50.2% |
Happy | 49.7% |
Calm | 49.6% |
Surprised | 49.6% |
Sad | 49.7% |
Confused | 49.6% |
Disgusted | 49.6% |
Angry | 49.7% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18720219/926,212,60,71/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18720219/46,174,46,133/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18720219/825,130,40,89/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18720219/211,266,62,92/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18720219/241,92,61,117/full/0/native.jpg)
Person | 90.6% | |
|
Categories
Imagga
paintings art | 96.5% | |
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text visuals | 1.5% | |
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food drinks | 1.2% | |
|
Captions
Microsoft
created on 2019-07-06
a group of people performing on a counter | 45.5% | |
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a group of people performing on a counter top | 35% | |
| ||
a group of people around each other | 34.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18720219/379,433,1,0/full/0/native.jpg)
a
![](https://ids.lib.harvard.edu/ids/iiif/18720219/543,293,0,0/full/0/native.jpg)
E
![](https://ids.lib.harvard.edu/ids/iiif/18720219/238,95,1,0/full/0/native.jpg)
amorit
![](https://ids.lib.harvard.edu/ids/iiif/18720219/222,251,0,0/full/0/native.jpg)
0212
![](https://ids.lib.harvard.edu/ids/iiif/18720219/944,334,0,0/full/0/native.jpg)
FKIN
![](https://ids.lib.harvard.edu/ids/iiif/18720219/106,360,0,0/full/0/native.jpg)
04
![](https://ids.lib.harvard.edu/ids/iiif/18720219/90,425,1,0/full/0/native.jpg)
#tcin
![](https://ids.lib.harvard.edu/ids/iiif/18720219/74,430,0,0/full/0/native.jpg)
4ere
![](https://ids.lib.harvard.edu/ids/iiif/18720219/241,36,1,0/full/0/native.jpg)
QE
![](https://ids.lib.harvard.edu/ids/iiif/18720219/253,29,14,36/full/0/native.jpg)
MaS T
![](https://ids.lib.harvard.edu/ids/iiif/18720219/253,29,13,27/full/0/native.jpg)
MaS
![](https://ids.lib.harvard.edu/ids/iiif/18720219/253,55,14,10/full/0/native.jpg)
T