Machine Generated Data
Tags
Amazon
created on 2022-05-06
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
hat | 59.2 | |
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money | 57 | |
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currency | 54.8 | |
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coin | 53.4 | |
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cowboy hat | 47.3 | |
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headdress | 45.1 | |
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finance | 44.8 | |
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coins | 42.5 | |
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cash | 40.3 | |
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bank | 37.6 | |
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banking | 33.1 | |
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ingot | 31.5 | |
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financial | 31.2 | |
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wealth | 29.6 | |
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sombrero | 29 | |
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clothing | 28.4 | |
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metal | 28.2 | |
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pay | 25 | |
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block | 24.3 | |
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close | 22.8 | |
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covering | 21.8 | |
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gold | 21.4 | |
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old | 20.9 | |
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economy | 20.4 | |
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one | 20.2 | |
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business | 20.1 | |
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change | 19.2 | |
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silver | 18.6 | |
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dollar | 18.6 | |
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exchange | 18.2 | |
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savings | 17.7 | |
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copper | 17.7 | |
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numismatics | 16.8 | |
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shiny | 16.6 | |
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shield | 16.6 | |
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object | 16.1 | |
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round | 15.5 | |
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finances | 15.4 | |
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consumer goods | 15.2 | |
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investment | 14.7 | |
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pound | 14.5 | |
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buy | 14.1 | |
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vintage | 14.1 | |
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commerce | 14 | |
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retro | 13.9 | |
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collection | 13.5 | |
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carving | 13.5 | |
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sculpture | 13.1 | |
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monetary | 12.7 | |
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two | 12.7 | |
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value | 12.6 | |
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armor | 12.5 | |
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antique | 11.8 | |
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cent | 11.8 | |
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payment | 11.6 | |
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historical | 11.3 | |
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closeup | 10.8 | |
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market | 10.7 | |
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treasure | 10.6 | |
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art | 10 | |
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coinage | 9.9 | |
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penny | 9.9 | |
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us | 9.6 | |
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protective covering | 9.6 | |
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ancient | 9.5 | |
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plastic art | 9.4 | |
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rich | 9.3 | |
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black | 9 | |
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collect | 8.9 | |
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symbol | 8.8 | |
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invest | 8.7 | |
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dollars | 8.7 | |
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golden | 8.6 | |
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circle | 8.6 | |
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stack | 8.3 | |
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liberty | 7.9 | |
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states | 7.7 | |
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tender | 7.7 | |
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england | 7.6 | |
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against | 7.4 | |
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bronze | 7.3 | |
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growth | 7 | |
|
Google
created on 2022-05-06
Artifact | 86 | |
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Coin | 85.4 | |
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Art | 84.7 | |
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Currency | 82.7 | |
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Wood | 81.3 | |
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Money | 76.7 | |
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Nickel | 75.6 | |
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Natural material | 74.3 | |
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Relief | 74 | |
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Carving | 72.1 | |
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Metal | 71.1 | |
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Circle | 69.5 | |
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Ancient history | 68.9 | |
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Visual arts | 66.9 | |
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Sculpture | 66 | |
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History | 65.6 | |
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Fashion accessory | 64.4 | |
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Bronze | 63.8 | |
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Symbol | 62.8 | |
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Mythology | 61.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 60-70 |
Gender | Male, 99.9% |
Calm | 99.7% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Disgusted | 0% |
Confused | 0% |
Angry | 0% |
Happy | 0% |
Feature analysis
Text analysis
Amazon
1930
STEADY
cm
US
1930
STEADY
cm
STEADY
cm
1930