Machine Generated Data
Tags
Amazon
created on 2022-05-06
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
money | 42.6 | |
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currency | 38.6 | |
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coin | 34.4 | |
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cash | 32 | |
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finance | 31.3 | |
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sculpture | 28.7 | |
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bank | 28 | |
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coins | 26.1 | |
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mask | 24.2 | |
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wealth | 23.4 | |
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one | 22.4 | |
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banking | 22.1 | |
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close | 21.7 | |
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black | 20.6 | |
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financial | 19.6 | |
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covering | 19.3 | |
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metal | 19.3 | |
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pay | 19.2 | |
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old | 18.8 | |
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dollar | 18.6 | |
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carving | 18.5 | |
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face | 17.1 | |
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plastic art | 15.6 | |
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change | 15.4 | |
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art | 15.2 | |
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male | 14.9 | |
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round | 14.7 | |
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business | 14.6 | |
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disguise | 14.5 | |
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exchange | 14.3 | |
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man | 14.3 | |
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head | 14.3 | |
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portrait | 14.2 | |
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silver | 14.2 | |
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economy | 13.9 | |
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numismatics | 13.9 | |
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object | 13.2 | |
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gold | 13.2 | |
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savings | 12.1 | |
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bust | 11.8 | |
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ancient | 11.2 | |
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attire | 11.1 | |
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person | 11.1 | |
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dark | 10.9 | |
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collection | 10.8 | |
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copper | 10.8 | |
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historical | 10.4 | |
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shiny | 10.3 | |
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commerce | 10.3 | |
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cent | 9.8 | |
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us | 9.6 | |
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finances | 9.6 | |
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bill | 9.5 | |
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closeup | 9.4 | |
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statue | 9.4 | |
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investment | 9.2 | |
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clothing | 9.2 | |
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retro | 9 | |
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human | 9 | |
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monetary | 8.8 | |
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culture | 8.5 | |
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expression | 8.5 | |
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people | 8.4 | |
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buckle | 8.3 | |
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moon | 8.3 | |
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figure | 8.3 | |
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symbol | 8.1 | |
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antique | 8 | |
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coinage | 7.9 | |
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penny | 7.9 | |
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collect | 7.9 | |
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paper | 7.8 | |
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value | 7.8 | |
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pound | 7.7 | |
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dollars | 7.7 | |
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amulet | 7.7 | |
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god | 7.7 | |
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two | 7.6 | |
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baby | 7.6 | |
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buy | 7.5 | |
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vintage | 7.5 | |
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rich | 7.4 | |
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adult | 7.1 | |
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fastener | 7.1 | |
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night | 7.1 | |
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Google
created on 2022-05-06
Chin | 96.6 | |
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Coin | 87.1 | |
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Currency | 86.5 | |
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Artifact | 85.1 | |
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Money | 83.6 | |
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Nickel | 82.7 | |
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Art | 77.5 | |
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Circle | 75.5 | |
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Metal | 70.2 | |
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Font | 70 | |
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Natural material | 67.7 | |
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Fashion accessory | 67.6 | |
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History | 65 | |
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Ancient history | 64.4 | |
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Antique | 64 | |
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Carving | 62.7 | |
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Bronze | 61 | |
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Event | 60.8 | |
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Still life photography | 59.1 | |
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Macro photography | 58 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 35-43 |
Gender | Female, 97.2% |
Sad | 99.9% |
Calm | 15.6% |
Surprised | 6.6% |
Fear | 6.4% |
Happy | 5% |
Angry | 2.6% |
Disgusted | 1.1% |
Confused | 0.6% |
Text analysis
Amazon
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