Machine Generated Data
Tags
Amazon
created on 2022-05-10
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
ingot | 100 | |
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block | 100 | |
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coin | 71.6 | |
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money | 68.2 | |
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currency | 67.4 | |
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coins | 58 | |
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finance | 52.5 | |
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cash | 50.4 | |
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bank | 42.2 | |
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banking | 40.5 | |
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financial | 35.7 | |
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wealth | 32.4 | |
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metal | 32.2 | |
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pay | 27.8 | |
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economy | 26 | |
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change | 25 | |
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exchange | 24.9 | |
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one | 24.7 | |
| ||
close | 24.6 | |
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silver | 23.9 | |
| ||
business | 23.1 | |
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gold | 20.6 | |
| ||
savings | 20.5 | |
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dollar | 20.5 | |
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old | 20.2 | |
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collection | 19.9 | |
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numismatics | 19.8 | |
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object | 19.1 | |
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cent | 17.7 | |
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finances | 17.4 | |
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round | 17.3 | |
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monetary | 16.7 | |
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shiny | 16.6 | |
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buy | 16 | |
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copper | 15.7 | |
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investment | 15.6 | |
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commerce | 15 | |
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penny | 14.8 | |
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retro | 14.8 | |
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pound | 14.5 | |
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payment | 13.5 | |
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historical | 13.2 | |
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closeup | 12.8 | |
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value | 12.6 | |
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vintage | 12.4 | |
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rich | 12.1 | |
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two | 11.9 | |
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coinage | 11.9 | |
| ||
collect | 11.8 | |
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market | 10.7 | |
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treasure | 10.6 | |
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symbol | 10.1 | |
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currencies | 9.9 | |
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moon | 9.9 | |
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antique | 9.9 | |
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dollars | 9.7 | |
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us | 9.7 | |
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stock | 9.4 | |
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black | 9 | |
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spend | 8.8 | |
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states | 8.7 | |
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credit | 8.7 | |
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ancient | 8.7 | |
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england | 8.6 | |
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reverse | 7.9 | |
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liberty | 7.9 | |
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crisis | 7.8 | |
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circle | 7.7 | |
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golden | 7.7 | |
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invest | 7.7 | |
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union | 7.7 | |
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tender | 7.7 | |
|
Google
created on 2022-05-10
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43350520/248,193,57,86/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Male, 61.6% |
Calm | 83.6% |
Fear | 8.1% |
Sad | 6.8% |
Surprised | 6.4% |
Angry | 1.2% |
Disgusted | 1% |
Confused | 0.3% |
Happy | 0.1% |
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43350520/528,74,353,325/full/0/native.jpg)
Moon | 95.6% | |
|
Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2022-05-10
a close up of a coin | 87.1% | |
| ||
close up of a coin | 84.4% | |
| ||
a coin on a table | 70.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43350520/970,457,16,7/full/0/native.jpg)
cm
![](https://ids.lib.harvard.edu/ids/iiif/43350520/27,216,162,137/full/0/native.jpg)
SANIG
![](https://ids.lib.harvard.edu/ids/iiif/43350520/735,97,30,18/full/0/native.jpg)
at
![](https://ids.lib.harvard.edu/ids/iiif/43350520/778,125,90,49/full/0/native.jpg)
GTV
![](https://ids.lib.harvard.edu/ids/iiif/43350520/175,70,344,302/full/0/native.jpg)
D
![](https://ids.lib.harvard.edu/ids/iiif/43350520/971,459,22,13/full/0/native.jpg)
cm
![](https://ids.lib.harvard.edu/ids/iiif/43350520/971,459,22,13/full/0/native.jpg)
cm