Machine Generated Data
Tags
Amazon
created on 2019-11-09
Clarifai
created on 2019-11-09
Imagga
created on 2019-11-09
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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money | 40 | |
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currency | 36.8 | |
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cash | 34.8 | |
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dollar | 32.5 | |
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bill | 29.5 | |
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banking | 27.6 | |
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paper | 26.2 | |
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finance | 24.5 | |
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bank | 24.2 | |
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close | 23.4 | |
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business | 22.5 | |
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wealth | 22.5 | |
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financial | 21.4 | |
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hundred | 21.3 | |
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dollars | 21.3 | |
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portrait | 20.1 | |
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us | 19.3 | |
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one | 18.7 | |
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franklin | 17.7 | |
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banknotes | 16.7 | |
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savings | 15.9 | |
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banknote | 15.5 | |
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finances | 15.4 | |
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pay | 15.4 | |
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bills | 14.6 | |
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exchange | 14.3 | |
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face | 14.2 | |
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rich | 14 | |
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man | 13.4 | |
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closeup | 12.8 | |
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loan | 12.5 | |
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success | 12.1 | |
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states | 11.6 | |
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payment | 11.6 | |
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male | 11.4 | |
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human | 11.3 | |
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economy | 11.1 | |
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economic | 10.7 | |
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people | 10.6 | |
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notes | 10.6 | |
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adult | 10.3 | |
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person | 10.1 | |
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market | 9.8 | |
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sexy | 9.6 | |
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hair | 9.5 | |
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investment | 9.2 | |
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vintage | 9.1 | |
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wages | 8.8 | |
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art | 8.6 | |
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profit | 8.6 | |
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united | 8.6 | |
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model | 8.6 | |
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commerce | 8.4 | |
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head | 8.4 | |
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old | 8.4 | |
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note | 8.3 | |
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twenty | 7.9 | |
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printed | 7.9 | |
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funds | 7.8 | |
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pretty | 7.7 | |
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attractive | 7.7 | |
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price | 7.7 | |
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skin | 7.6 | |
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capital | 7.6 | |
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sign | 7.5 | |
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symbol | 7.4 | |
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lady | 7.3 | |
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black | 7.2 | |
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concepts | 7.1 | |
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Google
created on 2019-11-09
Drawing | 88.2 | |
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Head | 87.6 | |
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Illustration | 87.4 | |
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Text | 86.9 | |
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Art | 81.1 | |
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Facial hair | 80.7 | |
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Portrait | 79 | |
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Sketch | 76.3 | |
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Self-portrait | 74.6 | |
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Artwork | 70.8 | |
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Jaw | 66.8 | |
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Beard | 66.1 | |
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Room | 65.7 | |
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Painting | 61.3 | |
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Moustache | 58.8 | |
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Visual arts | 55 | |
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Microsoft
created on 2019-11-09
text | 99.9 | |
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sketch | 99.7 | |
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drawing | 99.7 | |
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book | 96.8 | |
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human face | 91 | |
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illustration | 80.2 | |
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person | 77.5 | |
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man | 69.6 | |
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art | 62 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489612/480,397,145,253/full/0/native.jpg)
AWS Rekognition
Age | 35-51 |
Gender | Male, 93.4% |
Surprised | 0.7% |
Calm | 26.3% |
Angry | 33.8% |
Fear | 1% |
Happy | 0.1% |
Disgusted | 2.5% |
Sad | 23.2% |
Confused | 12.5% |
Feature analysis
Categories
Imagga
paintings art | 99.2% | |
|
Captions
Microsoft
created on 2019-11-09
a close up of a book | 56% | |
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close up of a book | 50.3% | |
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a close up of a book cover | 50.2% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489612/338,877,64,31/full/0/native.jpg)
May
![](https://ids.lib.harvard.edu/ids/iiif/20489612/633,823,86,21/full/0/native.jpg)
Pl.N28.
![](https://ids.lib.harvard.edu/ids/iiif/20489612/403,887,81,41/full/0/native.jpg)
cenay
![](https://ids.lib.harvard.edu/ids/iiif/20489612/207,815,86,34/full/0/native.jpg)
L'Sffroy
![](https://ids.lib.harvard.edu/ids/iiif/20489612/645,882,120,50/full/0/native.jpg)
ja Negler
![](https://ids.lib.harvard.edu/ids/iiif/20489612/563,882,45,45/full/0/native.jpg)
fee
![](https://ids.lib.harvard.edu/ids/iiif/20489612/492,882,43,26/full/0/native.jpg)
Lieg
![](https://ids.lib.harvard.edu/ids/iiif/20489612/784,897,34,19/full/0/native.jpg)
no
![](https://ids.lib.harvard.edu/ids/iiif/20489612/541,880,29,30/full/0/native.jpg)
et
![](https://ids.lib.harvard.edu/ids/iiif/20489612/297,868,575,56/full/0/native.jpg)
e May cenay Lieg et fee Ja ja Negler no no Z
![](https://ids.lib.harvard.edu/ids/iiif/20489612/297,876,31,32/full/0/native.jpg)
e
![](https://ids.lib.harvard.edu/ids/iiif/20489612/195,817,22,22/full/0/native.jpg)
L
![](https://ids.lib.harvard.edu/ids/iiif/20489612/179,846,122,15/full/0/native.jpg)
mueny./za.
![](https://ids.lib.harvard.edu/ids/iiif/20489612/626,891,47,30/full/0/native.jpg)
Ja
![](https://ids.lib.harvard.edu/ids/iiif/20489612/786,892,86,28/full/0/native.jpg)
no Z
![](https://ids.lib.harvard.edu/ids/iiif/20489612/630,827,52,24/full/0/native.jpg)
PLN
![](https://ids.lib.harvard.edu/ids/iiif/20489612/688,827,30,24/full/0/native.jpg)
28
![](https://ids.lib.harvard.edu/ids/iiif/20489612/220,815,76,42/full/0/native.jpg)
ffroy
![](https://ids.lib.harvard.edu/ids/iiif/20489612/535,881,40,49/full/0/native.jpg)
of
![](https://ids.lib.harvard.edu/ids/iiif/20489612/570,882,48,50/full/0/native.jpg)
fac
![](https://ids.lib.harvard.edu/ids/iiif/20489612/631,886,141,54/full/0/native.jpg)
JuNaglr
![](https://ids.lib.harvard.edu/ids/iiif/20489612/342,881,147,55/full/0/native.jpg)
Maycenay
![](https://ids.lib.harvard.edu/ids/iiif/20489612/192,815,682,125/full/0/native.jpg)
PLN 28
ffroy
emartenav.1773
tiver of fac JuNaglr
9e Maycenay
52 0u
![](https://ids.lib.harvard.edu/ids/iiif/20489612/192,849,111,24/full/0/native.jpg)
emartenav.1773
![](https://ids.lib.harvard.edu/ids/iiif/20489612/498,885,41,29/full/0/native.jpg)
tiver
![](https://ids.lib.harvard.edu/ids/iiif/20489612/303,878,32,37/full/0/native.jpg)
9e
![](https://ids.lib.harvard.edu/ids/iiif/20489612/828,898,46,24/full/0/native.jpg)
52
![](https://ids.lib.harvard.edu/ids/iiif/20489612/788,902,34,17/full/0/native.jpg)
0u