Machine Generated Data
Tags
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
ceramic ware | 58.3 | |
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money | 48.5 | |
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china | 47.9 | |
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currency | 47.6 | |
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porcelain | 40.1 | |
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coin | 39.1 | |
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utensil | 38.1 | |
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finance | 38 | |
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cash | 36.6 | |
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earthenware | 35.1 | |
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bank | 29.6 | |
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financial | 28.5 | |
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banking | 26.7 | |
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coins | 26.1 | |
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majolica | 24.5 | |
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wealth | 22.5 | |
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dollar | 21.4 | |
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metal | 20.9 | |
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one | 20.9 | |
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business | 20.7 | |
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pay | 19.2 | |
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old | 18.8 | |
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close | 18.3 | |
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economy | 17.6 | |
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change | 16.4 | |
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exchange | 15.3 | |
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silver | 15 | |
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numismatics | 14.8 | |
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art | 14.1 | |
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savings | 14 | |
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object | 13.9 | |
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planet | 13.9 | |
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ancient | 13.8 | |
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round | 13.8 | |
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us | 13.5 | |
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antique | 13.4 | |
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collection | 12.6 | |
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vintage | 12.4 | |
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retro | 12.3 | |
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commerce | 12.1 | |
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globe | 12 | |
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earth | 11.9 | |
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world | 11.5 | |
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historical | 11.3 | |
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rich | 11.2 | |
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shiny | 11.1 | |
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sphere | 11 | |
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cent | 10.8 | |
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copper | 10.8 | |
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closeup | 10.8 | |
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gold | 10.7 | |
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grunge | 10.2 | |
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container | 9.9 | |
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dollars | 9.7 | |
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finances | 9.6 | |
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geography | 9.6 | |
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symbol | 9.4 | |
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paper | 9.4 | |
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map | 9.3 | |
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investment | 9.2 | |
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history | 9 | |
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cup | 8.9 | |
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states | 8.7 | |
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payment | 8.7 | |
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circle | 8.6 | |
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united | 8.6 | |
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bill | 8.6 | |
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sculpture | 8.5 | |
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two | 8.5 | |
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head | 8.4 | |
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fantasy | 8.1 | |
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ball | 8 | |
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monetary | 7.8 | |
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artistic | 7.8 | |
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value | 7.8 | |
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space | 7.8 | |
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hundred | 7.8 | |
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shield | 7.6 | |
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design | 7.5 | |
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buy | 7.5 | |
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global | 7.3 | |
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market | 7.1 | |
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face | 7.1 | |
|
Google
created on 2022-01-22
Arm | 94.4 | |
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Human body | 88.7 | |
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Organism | 85.4 | |
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Chest | 84.1 | |
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Art | 82.8 | |
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Illustration | 74.2 | |
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Painting | 71.2 | |
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Drawing | 70.9 | |
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Fictional character | 70.5 | |
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Trunk | 70.5 | |
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Mythology | 68.1 | |
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Line art | 67.6 | |
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Visual arts | 67.1 | |
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Figure drawing | 61.8 | |
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History | 61.1 | |
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Artwork | 60.9 | |
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Printmaking | 60.2 | |
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Flesh | 59.5 | |
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Vintage clothing | 58.7 | |
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Circle | 58.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-31 |
Gender | Male, 96.2% |
Calm | 79.6% |
Fear | 9.3% |
Angry | 2.8% |
Surprised | 2.3% |
Happy | 2.2% |
Sad | 2.1% |
Disgusted | 1% |
Confused | 0.6% |
Feature analysis
Text analysis
Amazon
Mi
Mi excud
excud
化
Ni. escud.
化
Ni.
escud.