Machine Generated Data
Tags
Amazon
created on 2022-06-25
Clarifai
created on 2023-10-16
Imagga
created on 2022-06-25
powder | 59.7 | |
| ||
money | 38.3 | |
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currency | 37.7 | |
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rouge | 36.4 | |
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face powder | 35.9 | |
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toiletry | 35.9 | |
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coin | 35.3 | |
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coins | 32.9 | |
| ||
finance | 28.8 | |
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cash | 28.4 | |
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makeup | 27.5 | |
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financial | 25.9 | |
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bank | 24.2 | |
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metal | 23.4 | |
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banking | 23 | |
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cosmetic | 21.8 | |
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one | 18.7 | |
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wealth | 18 | |
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economy | 16.7 | |
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business | 16.4 | |
| ||
round | 16.4 | |
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change | 16.4 | |
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shiny | 15.8 | |
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close | 15.4 | |
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exchange | 15.3 | |
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food | 14.8 | |
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object | 14.7 | |
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circle | 14.6 | |
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earthenware | 14.2 | |
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closeup | 13.5 | |
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silver | 13.3 | |
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investment | 12.8 | |
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pay | 12.5 | |
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savings | 12.1 | |
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ceramic ware | 12.1 | |
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payment | 11.6 | |
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single | 11.5 | |
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black | 11.4 | |
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moon | 11 | |
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utensil | 10.8 | |
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copper | 10.8 | |
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old | 10.5 | |
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cent | 9.8 | |
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buy | 9.4 | |
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two | 9.3 | |
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dollar | 9.3 | |
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full | 9.1 | |
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gold | 9.1 | |
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numismatics | 8.9 | |
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market | 8.9 | |
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brown | 8.8 | |
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monetary | 8.8 | |
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finances | 8.7 | |
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rich | 8.4 | |
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planet | 8.1 | |
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symbol | 8.1 | |
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reflection | 8 | |
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yellow | 8 | |
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value | 7.8 | |
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pound | 7.7 | |
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wood | 7.5 | |
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wooden spoon | 7.4 | |
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meal | 7.3 | |
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container | 7.3 | |
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color | 7.2 | |
|
Google
created on 2022-06-25
Microsoft
created on 2022-06-25
text | 77.2 | |
| ||
coin | 63.4 | |
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ceramic ware | 21.8 | |
|
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43353520/224,147,51,78/full/0/native.jpg)
AWS Rekognition
Age | 30-40 |
Gender | Male, 58.9% |
Calm | 87.7% |
Happy | 8.7% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.3% |
Angry | 1.7% |
Disgusted | 0.4% |
Confused | 0.4% |
Feature analysis
Categories
Imagga
food drinks | 96.2% | |
| ||
paintings art | 3.8% | |
|
Captions
Microsoft
created on 2022-06-25
a close up of a plate on a table | 25.3% | |
| ||
a close up of a plate | 25.2% | |
| ||
a wooden table | 25.1% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43353520/968,446,18,9/full/0/native.jpg)
cm
![](https://ids.lib.harvard.edu/ids/iiif/43353520/357,241,25,62/full/0/native.jpg)
FRAN
![](https://ids.lib.harvard.edu/ids/iiif/43353520/245,107,43,23/full/0/native.jpg)
DE
![](https://ids.lib.harvard.edu/ids/iiif/43353520/195,384,28,9/full/0/native.jpg)
XXV
![](https://ids.lib.harvard.edu/ids/iiif/43353520/265,115,60,28/full/0/native.jpg)
LA
![](https://ids.lib.harvard.edu/ids/iiif/43353520/251,372,58,11/full/0/native.jpg)
MARINGO
![](https://ids.lib.harvard.edu/ids/iiif/43353520/175,383,116,11/full/0/native.jpg)
OR XXV FRAIRIAL
![](https://ids.lib.harvard.edu/ids/iiif/43353520/159,372,150,11/full/0/native.jpg)
GAORIES MARINGO
![](https://ids.lib.harvard.edu/ids/iiif/43353520/215,394,17,9/full/0/native.jpg)
AN
![](https://ids.lib.harvard.edu/ids/iiif/43353520/230,383,61,11/full/0/native.jpg)
FRAIRIAL
![](https://ids.lib.harvard.edu/ids/iiif/43353520/254,124,166,78/full/0/native.jpg)
REPUBL
![](https://ids.lib.harvard.edu/ids/iiif/43353520/215,394,41,9/full/0/native.jpg)
AN VELLA
![](https://ids.lib.harvard.edu/ids/iiif/43353520/338,191,57,51/full/0/native.jpg)
LOTE
![](https://ids.lib.harvard.edu/ids/iiif/43353520/175,383,16,9/full/0/native.jpg)
OR
![](https://ids.lib.harvard.edu/ids/iiif/43353520/122,126,62,28/full/0/native.jpg)
TIF
![](https://ids.lib.harvard.edu/ids/iiif/43353520/170,101,91,33/full/0/native.jpg)
CONSEIN
![](https://ids.lib.harvard.edu/ids/iiif/43353520/159,372,62,11/full/0/native.jpg)
GAORIES
![](https://ids.lib.harvard.edu/ids/iiif/43353520/74,142,103,51/full/0/native.jpg)
FREN
![](https://ids.lib.harvard.edu/ids/iiif/43353520/231,394,25,9/full/0/native.jpg)
VELLA
![](https://ids.lib.harvard.edu/ids/iiif/43353520/968,447,24,13/full/0/native.jpg)
cm