Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
money | 50.2 | |
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gem | 47 | |
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coin | 45.8 | |
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currency | 44 | |
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ingot | 42.8 | |
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finance | 37.2 | |
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block | 33.1 | |
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cash | 33 | |
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coins | 32.8 | |
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bank | 29.6 | |
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banking | 27.6 | |
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wealth | 25.2 | |
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pay | 23 | |
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moon | 20.8 | |
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round | 20.7 | |
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close | 20.6 | |
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financial | 20.5 | |
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silver | 20.4 | |
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metal | 20.1 | |
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device | 19.8 | |
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collection | 18.9 | |
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pick | 18.7 | |
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black | 18.2 | |
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object | 16.9 | |
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rich | 16.8 | |
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dollar | 15.8 | |
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economy | 14.8 | |
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shiny | 14.2 | |
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gold | 14 | |
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business | 14 | |
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numismatics | 13.9 | |
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reflection | 13.8 | |
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treasure | 13.5 | |
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change | 13.5 | |
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historical | 13.2 | |
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retro | 13.1 | |
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old | 12.6 | |
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night | 12.4 | |
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commerce | 12.2 | |
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savings | 12.1 | |
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one | 12 | |
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collect | 11.8 | |
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diamond | 11.6 | |
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jewel | 11.6 | |
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jewelry | 11.5 | |
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exchange | 11.5 | |
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closeup | 11.5 | |
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gemstone | 10.8 | |
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symbol | 10.8 | |
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vintage | 10.8 | |
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astronomy | 10.8 | |
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precious | 10.7 | |
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planet | 10.7 | |
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us | 10.6 | |
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shine | 10.1 | |
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space | 10.1 | |
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full | 10.1 | |
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dark | 10 | |
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cent | 9.8 | |
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monetary | 9.8 | |
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states | 9.7 | |
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finances | 9.6 | |
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crystal | 9.6 | |
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luxury | 9.4 | |
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investment | 9.2 | |
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crater | 8.9 | |
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pound | 8.7 | |
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dollars | 8.7 | |
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brilliant | 8.7 | |
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expensive | 8.6 | |
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buy | 8.5 | |
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star | 8.1 | |
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lunar | 7.9 | |
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liberty | 7.9 | |
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value | 7.8 | |
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golden | 7.7 | |
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engagement | 7.7 | |
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buckle | 7.6 | |
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shield | 7.3 | |
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fastener | 7.2 | |
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science | 7.1 | |
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market | 7.1 | |
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conceptual | 7.1 | |
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sky | 7 | |
|
Google
created on 2022-05-06
Coin | 88.8 | |
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Currency | 87.3 | |
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Money | 85 | |
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Artifact | 84.2 | |
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Nickel | 83.1 | |
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Font | 76.1 | |
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Circle | 74.8 | |
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Cash | 72.2 | |
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Metal | 69.6 | |
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Fashion accessory | 67.6 | |
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Art | 66.2 | |
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Ancient history | 66 | |
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Carving | 65.3 | |
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History | 64.8 | |
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Darkness | 64.2 | |
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Bronze | 62.4 | |
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Antique | 62.3 | |
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Monochrome | 60.3 | |
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Monochrome photography | 60.1 | |
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Macro photography | 59.9 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 24-34 |
Gender | Male, 100% |
Happy | 88.3% |
Surprised | 6.5% |
Fear | 6% |
Disgusted | 5.2% |
Calm | 3.1% |
Sad | 2.6% |
Angry | 1% |
Confused | 0.3% |
Microsoft Cognitive Services
Age | 37 |
Gender | Female |
Text analysis
Amazon
cm
AINN
cm
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