Machine Generated Data
Tags
Clarifai
created on 2023-10-16
Imagga
created on 2022-07-01
ingot | 100 | |
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block | 100 | |
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money | 66.4 | |
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coin | 65.9 | |
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currency | 62.9 | |
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coins | 53.1 | |
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finance | 49 | |
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cash | 47.6 | |
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financial | 37.4 | |
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bank | 36.8 | |
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banking | 33.1 | |
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metal | 33 | |
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wealth | 30.5 | |
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exchange | 27.7 | |
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dollar | 26 | |
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business | 25.5 | |
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gold | 25.5 | |
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silver | 24.8 | |
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economy | 24.1 | |
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change | 24.1 | |
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pay | 24 | |
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one | 23.2 | |
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close | 22.3 | |
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savings | 21.5 | |
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cent | 20.6 | |
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finances | 19.3 | |
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numismatics | 18.8 | |
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shield | 18.1 | |
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penny | 17.7 | |
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monetary | 17.6 | |
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investment | 17.4 | |
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payment | 16.4 | |
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old | 16 | |
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buy | 16 | |
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shiny | 15.8 | |
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object | 15.4 | |
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copper | 14.7 | |
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round | 14.7 | |
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collection | 14.4 | |
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commerce | 14 | |
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armor | 13.8 | |
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value | 13.6 | |
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pound | 13.5 | |
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dollars | 12.6 | |
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treasure | 11.6 | |
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us | 11.6 | |
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retro | 11.5 | |
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symbol | 11.5 | |
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two | 11 | |
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coinage | 10.9 | |
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closeup | 10.8 | |
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crisis | 10.7 | |
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market | 10.7 | |
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protective covering | 10.4 | |
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currencies | 9.9 | |
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spend | 9.8 | |
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rich | 9.3 | |
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vintage | 9.1 | |
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bills | 8.7 | |
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england | 8.6 | |
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historical | 8.5 | |
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shine | 8.3 | |
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reverse | 7.9 | |
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liberty | 7.9 | |
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funds | 7.8 | |
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economics | 7.8 | |
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circle | 7.7 | |
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golden | 7.7 | |
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states | 7.7 | |
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invest | 7.7 | |
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debt | 7.7 | |
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tender | 7.7 | |
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note | 7.4 | |
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covering | 7.3 | |
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black | 7.2 | |
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concepts | 7.1 | |
|
Google
created on 2022-07-01
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43359889/681,95,32,39/full/0/native.jpg)
AWS Rekognition
Age | 49-57 |
Gender | Male, 98.6% |
Sad | 87% |
Calm | 44.2% |
Surprised | 9% |
Confused | 6.9% |
Fear | 6.1% |
Angry | 1.6% |
Happy | 1.1% |
Disgusted | 1% |
Categories
Imagga
paintings art | 99.1% | |
|
Captions
Microsoft
created on 2022-07-01
a coin on a table | 83.3% | |
| ||
a close up of a coin | 83.2% | |
| ||
close up of a coin | 83.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43359889/691,333,44,25/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43359889/112,363,85,63/full/0/native.jpg)
MAN
![](https://ids.lib.harvard.edu/ids/iiif/43359889/191,398,89,35/full/0/native.jpg)
MUST
![](https://ids.lib.harvard.edu/ids/iiif/43359889/968,446,18,9/full/0/native.jpg)
cm
![](https://ids.lib.harvard.edu/ids/iiif/43359889/864,284,20,10/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/43359889/112,324,276,116/full/0/native.jpg)
MAN MUST SOVAL
![](https://ids.lib.harvard.edu/ids/iiif/43359889/676,355,73,33/full/0/native.jpg)
REAP
![](https://ids.lib.harvard.edu/ids/iiif/43359889/269,324,120,116/full/0/native.jpg)
SOVAL
![](https://ids.lib.harvard.edu/ids/iiif/43359889/544,317,165,95/full/0/native.jpg)
SAMPLE
![](https://ids.lib.harvard.edu/ids/iiif/43359889/114,295,878,165/full/0/native.jpg)
3
MAN MUST SOW
Val
TO
cm
![](https://ids.lib.harvard.edu/ids/iiif/43359889/128,295,15,16/full/0/native.jpg)
3
![](https://ids.lib.harvard.edu/ids/iiif/43359889/115,367,84,61/full/0/native.jpg)
MAN
![](https://ids.lib.harvard.edu/ids/iiif/43359889/197,397,89,39/full/0/native.jpg)
MUST
![](https://ids.lib.harvard.edu/ids/iiif/43359889/273,366,92,67/full/0/native.jpg)
SOW
![](https://ids.lib.harvard.edu/ids/iiif/43359889/573,319,101,79/full/0/native.jpg)
Val
![](https://ids.lib.harvard.edu/ids/iiif/43359889/692,331,46,32/full/0/native.jpg)
TO
![](https://ids.lib.harvard.edu/ids/iiif/43359889/968,447,24,13/full/0/native.jpg)
cm