Machine Generated Data
Tags
Amazon
created on 2019-08-07
Clarifai
created on 2019-08-07
Imagga
created on 2019-08-07
jigsaw puzzle | 41.2 | |
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money | 37.4 | |
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currency | 34.1 | |
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puzzle | 33.7 | |
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cash | 32.9 | |
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dollar | 29.7 | |
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bank | 26.9 | |
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banking | 26.7 | |
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finance | 25.3 | |
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bill | 24.7 | |
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game | 23.4 | |
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financial | 23.2 | |
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paper | 22.1 | |
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wealth | 21.5 | |
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dollars | 20.3 | |
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close | 20 | |
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us | 19.3 | |
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business | 18.2 | |
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bills | 16.5 | |
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exchange | 16.2 | |
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savings | 15.8 | |
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art | 15 | |
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vintage | 14.9 | |
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economy | 14.8 | |
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finances | 14.5 | |
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one | 14.2 | |
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banknotes | 13.7 | |
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banknote | 13.6 | |
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hundred | 13.6 | |
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states | 13.5 | |
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rich | 13 | |
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face | 12.8 | |
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pay | 12.5 | |
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united | 12.4 | |
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note | 11.9 | |
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investment | 11.9 | |
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old | 11.8 | |
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franklin | 11.8 | |
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portrait | 11.6 | |
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book jacket | 11.6 | |
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notes | 11.5 | |
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closeup | 11.5 | |
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ancient | 11.2 | |
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market | 10.7 | |
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loan | 10.5 | |
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church | 10.2 | |
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cat | 10.1 | |
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religion | 9.9 | |
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funds | 9.8 | |
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payment | 9.6 | |
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card | 9.4 | |
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jacket | 9 | |
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doormat | 9 | |
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postmark | 8.9 | |
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man | 8.7 | |
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economic | 8.7 | |
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stamp | 8.7 | |
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8.6 | ||
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covering | 8.6 | |
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culture | 8.5 | |
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capital | 8.5 | |
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color | 8.3 | |
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hunting dog | 8.3 | |
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letter | 8.3 | |
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dog | 8.2 | |
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retro | 8.2 | |
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fur | 7.9 | |
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twenty | 7.9 | |
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postage | 7.9 | |
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president | 7.9 | |
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postal | 7.9 | |
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male | 7.8 | |
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invest | 7.7 | |
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spirituality | 7.7 | |
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head | 7.6 | |
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stock | 7.5 | |
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commerce | 7.5 | |
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feline | 7.4 | |
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mosaic | 7.2 | |
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envelope | 7.2 | |
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mat | 7.1 | |
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architecture | 7 | |
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Google
created on 2019-08-07
Painting | 91.9 | |
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Illustration | 86.8 | |
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Art | 85.3 | |
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Goats | 77.1 | |
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Drawing | 75.4 | |
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Printmaking | 74.5 | |
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Visual arts | 64.9 | |
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Sheep | 62.9 | |
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Picture frame | 62.1 | |
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Goat | 61.1 | |
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Artwork | 60.6 | |
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Modern art | 59.2 | |
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Still life | 54.5 | |
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Sheep | 52.6 | |
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Hare | 52.6 | |
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Livestock | 50.4 | |
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Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20457513/793,415,19,24/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Female, 50% |
Surprised | 49.5% |
Sad | 50.4% |
Happy | 49.5% |
Disgusted | 49.6% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20457513/496,182,85,124/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 61.4% |
Disgusted | 0.6% |
Happy | 0.7% |
Calm | 5.1% |
Surprised | 1.7% |
Confused | 1.9% |
Sad | 81.6% |
Angry | 8.4% |
Feature analysis
Categories
Imagga
paintings art | 82.1% | |
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beaches seaside | 7.7% | |
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nature landscape | 4.1% | |
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pets animals | 3.8% | |
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streetview architecture | 1.9% | |
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Captions
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20457513/578,673,88,31/full/0/native.jpg)
eeit
![](https://ids.lib.harvard.edu/ids/iiif/20457513/419,671,248,32/full/0/native.jpg)
wanveldle eeit
![](https://ids.lib.harvard.edu/ids/iiif/20457513/419,673,155,29/full/0/native.jpg)
wanveldle
![](https://ids.lib.harvard.edu/ids/iiif/20457513/397,675,241,39/full/0/native.jpg)
HAwnvelde eri
![](https://ids.lib.harvard.edu/ids/iiif/20457513/397,677,176,31/full/0/native.jpg)
HAwnvelde
![](https://ids.lib.harvard.edu/ids/iiif/20457513/578,675,60,39/full/0/native.jpg)
eri