Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
ingot | 100 | |
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block | 88 | |
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coin | 50.6 | |
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money | 50.3 | |
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currency | 48.5 | |
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coins | 38.7 | |
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finance | 38.1 | |
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cash | 36.7 | |
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bank | 33.2 | |
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financial | 29.4 | |
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banking | 27.6 | |
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metal | 26.6 | |
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one | 24.7 | |
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silver | 21.3 | |
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round | 20.7 | |
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wealth | 20.7 | |
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pay | 20.2 | |
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exchange | 20.1 | |
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close | 19.4 | |
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shiny | 17.4 | |
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change | 17.3 | |
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numismatics | 16.8 | |
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old | 16.7 | |
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dollar | 16.7 | |
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economy | 16.7 | |
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business | 16.4 | |
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gold | 15.6 | |
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finances | 15.4 | |
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face powder | 15.1 | |
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toiletry | 15.1 | |
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copper | 14.7 | |
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object | 14.7 | |
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commerce | 14 | |
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payment | 13.5 | |
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buy | 13.2 | |
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savings | 13.1 | |
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cent | 12.8 | |
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powder | 12.7 | |
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circle | 12.1 | |
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investment | 11.9 | |
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monetary | 11.8 | |
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collection | 11.7 | |
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makeup | 11.2 | |
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black | 10.8 | |
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value | 10.7 | |
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pound | 10.6 | |
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china | 10.2 | |
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two | 10.2 | |
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closeup | 10.1 | |
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shield | 10.1 | |
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relief | 9.9 | |
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coinage | 9.9 | |
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single | 9.9 | |
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retro | 9.8 | |
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moon | 9.8 | |
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market | 9.8 | |
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antique | 9.7 | |
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symbol | 9.4 | |
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penny | 8.9 | |
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cosmetic | 8.8 | |
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credit | 8.7 | |
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price | 8.7 | |
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rich | 8.4 | |
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ceramic ware | 8.2 | |
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art | 8.1 | |
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reverse | 7.9 | |
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eagle | 7.9 | |
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states | 7.7 | |
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porcelain | 7.7 | |
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treasure | 7.7 | |
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us | 7.7 | |
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union | 7.7 | |
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vintage | 7.5 | |
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design | 7.3 | |
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icon | 7.1 | |
|
Google
created on 2022-05-10
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43350570/206,115,79,119/full/0/native.jpg)
AWS Rekognition
Age | 48-56 |
Gender | Male, 97.4% |
Calm | 84.2% |
Surprised | 6.7% |
Fear | 6.2% |
Sad | 6.2% |
Angry | 2.7% |
Disgusted | 1.9% |
Happy | 1.5% |
Confused | 0.2% |
![](https://ids.lib.harvard.edu/ids/iiif/43350570/649,103,76,119/full/0/native.jpg)
AWS Rekognition
Age | 41-49 |
Gender | Female, 61.4% |
Calm | 87.7% |
Surprised | 6.7% |
Fear | 6.2% |
Angry | 5.2% |
Happy | 2.4% |
Sad | 2.4% |
Disgusted | 1.6% |
Confused | 0.7% |
Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2022-05-10
a cup of tea on a table | 25.5% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43350570/47,228,20,14/full/0/native.jpg)
S
![](https://ids.lib.harvard.edu/ids/iiif/43350570/580,126,60,33/full/0/native.jpg)
03.46
![](https://ids.lib.harvard.edu/ids/iiif/43350570/40,232,43,95/full/0/native.jpg)
PETRV
![](https://ids.lib.harvard.edu/ids/iiif/43350570/311,87,32,28/full/0/native.jpg)
CR
![](https://ids.lib.harvard.edu/ids/iiif/43350570/333,101,72,77/full/0/native.jpg)
CONC
![](https://ids.lib.harvard.edu/ids/iiif/43350570/191,68,264,110/full/0/native.jpg)
the CR CONC
![](https://ids.lib.harvard.edu/ids/iiif/43350570/-23,117,203,118/full/0/native.jpg)
LEANNE
![](https://ids.lib.harvard.edu/ids/iiif/43350570/258,68,21,19/full/0/native.jpg)
the
![](https://ids.lib.harvard.edu/ids/iiif/43350570/248,263,16,16/full/0/native.jpg)
FEE
![](https://ids.lib.harvard.edu/ids/iiif/43350570/740,54,71,31/full/0/native.jpg)
and
![](https://ids.lib.harvard.edu/ids/iiif/43350570/83,86,89,40/full/0/native.jpg)
FROM
![](https://ids.lib.harvard.edu/ids/iiif/43350570/169,56,156,47/full/0/native.jpg)
INISTAS
![](https://ids.lib.harvard.edu/ids/iiif/43350570/169,56,156,47/full/0/native.jpg)
INISTAS