Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
ingot | 100 | |
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block | 98.3 | |
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coin | 57.3 | |
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currency | 56.6 | |
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money | 56.3 | |
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coins | 47.4 | |
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pick | 43.5 | |
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finance | 41.5 | |
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cash | 39.4 | |
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device | 36 | |
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bank | 35 | |
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banking | 35 | |
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pay | 27.9 | |
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metal | 25.8 | |
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object | 25.7 | |
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close | 24.6 | |
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collection | 24.4 | |
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old | 23.7 | |
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silver | 21.3 | |
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collect | 20.7 | |
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one | 20.2 | |
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historical | 19.8 | |
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retro | 19.7 | |
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financial | 19.6 | |
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round | 19 | |
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exchange | 16.3 | |
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wealth | 16.2 | |
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numismatics | 15.9 | |
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vintage | 15.8 | |
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dollar | 14.9 | |
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moon | 13.9 | |
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black | 13.8 | |
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change | 13.5 | |
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savings | 13.1 | |
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shiny | 12.7 | |
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business | 12.2 | |
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economy | 12.1 | |
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cent | 11.8 | |
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copper | 11.8 | |
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monetary | 11.8 | |
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planet | 11.5 | |
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ruble | 10.9 | |
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space | 10.9 | |
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pound | 10.6 | |
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ancient | 10.4 | |
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gold | 9.9 | |
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penny | 9.9 | |
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astronomy | 9.8 | |
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finances | 9.7 | |
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rust | 9.6 | |
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closeup | 9.4 | |
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night | 8.9 | |
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universe | 8.8 | |
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two | 8.5 | |
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commerce | 8.4 | |
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science | 8 | |
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antique | 7.8 | |
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states | 7.8 | |
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us | 7.7 | |
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payment | 7.7 | |
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globe | 7.4 | |
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symbol | 7.4 | |
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shine | 7.4 | |
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investment | 7.3 | |
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earth | 7.3 | |
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star | 7.2 | |
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market | 7.1 | |
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world | 7.1 | |
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surface | 7.1 | |
|
Google
created on 2022-05-06
Chin | 96.7 | |
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Coin | 89.4 | |
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Currency | 87.3 | |
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Artifact | 86.2 | |
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Money | 85.9 | |
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Nickel | 83.3 | |
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Circle | 75.5 | |
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Font | 75.4 | |
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Metal | 70.4 | |
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Ancient history | 68 | |
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Fashion accessory | 67.5 | |
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History | 67 | |
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Macro photography | 63.4 | |
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Antique | 62.3 | |
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Event | 62.2 | |
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Art | 60 | |
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Bronze | 59.9 | |
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Souvenir | 59.6 | |
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Collectable | 59.2 | |
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Silver | 58.3 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 24-34 |
Gender | Female, 97.8% |
Calm | 98.8% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Happy | 0.3% |
Disgusted | 0.2% |
Angry | 0.1% |
Confused | 0.1% |
Feature analysis
Amazon
Person | 64.5% | |
|
Text analysis
Amazon
cm
zoco
3