Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
ingot | 99.1 | |
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block | 76.7 | |
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coin | 48.7 | |
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money | 46.9 | |
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currency | 46.7 | |
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finance | 38.9 | |
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coins | 37.7 | |
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cash | 33 | |
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bank | 30.5 | |
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banking | 29.5 | |
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metal | 27.4 | |
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financial | 25.9 | |
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silver | 24.8 | |
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wealth | 24.3 | |
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round | 21.6 | |
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close | 21.1 | |
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black | 19.3 | |
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pay | 19.2 | |
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exchange | 19.1 | |
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economy | 18.6 | |
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moon | 18.6 | |
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shield | 17.9 | |
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dollar | 17.7 | |
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one | 16.4 | |
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change | 16.4 | |
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collection | 16.2 | |
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savings | 15.9 | |
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numismatics | 15.8 | |
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object | 15.4 | |
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old | 15.3 | |
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business | 15.2 | |
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commerce | 15 | |
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monetary | 14.7 | |
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shiny | 14.3 | |
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gold | 14 | |
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brass | 13.7 | |
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armor | 13.6 | |
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planet | 13.5 | |
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cent | 12.8 | |
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space | 12.4 | |
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closeup | 12.1 | |
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retro | 11.5 | |
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buy | 11.3 | |
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night | 10.7 | |
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states | 10.6 | |
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us | 10.6 | |
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finances | 10.6 | |
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protective covering | 10.4 | |
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globe | 10.2 | |
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memorial | 10.2 | |
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investment | 10.1 | |
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copper | 9.8 | |
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astronomy | 9.8 | |
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pound | 9.7 | |
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payment | 9.6 | |
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gem | 9.5 | |
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historical | 9.4 | |
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rich | 9.3 | |
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shine | 9.2 | |
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dark | 9.2 | |
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earth | 9.2 | |
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science | 8.9 | |
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collect | 8.9 | |
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symbol | 8.8 | |
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art | 8.6 | |
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circle | 8.6 | |
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reflection | 8.3 | |
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sphere | 8.3 | |
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vintage | 8.3 | |
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market | 8 | |
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antique | 8 | |
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surface | 7.9 | |
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coinage | 7.9 | |
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penny | 7.9 | |
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liberty | 7.9 | |
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universe | 7.8 | |
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value | 7.8 | |
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dollars | 7.7 | |
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sky | 7.7 | |
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two | 7.6 | |
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united | 7.6 | |
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full | 7.3 | |
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world | 7.1 | |
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conceptual | 7.1 | |
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Google
created on 2022-05-06
Head | 97.5 | |
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Coin | 89.3 | |
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Currency | 87.2 | |
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Money | 85.9 | |
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Grey | 84.1 | |
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Artifact | 83.7 | |
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Nickel | 81.6 | |
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Font | 80.1 | |
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Cash | 77.7 | |
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Circle | 74.9 | |
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Metal | 70.6 | |
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Carving | 69 | |
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Darkness | 68.4 | |
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Computed tomography | 68.2 | |
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Fashion accessory | 67.4 | |
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Tree | 67.3 | |
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Ancient history | 66.9 | |
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Art | 66 | |
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Macro photography | 65.6 | |
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Money handling | 64.1 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 33-41 |
Gender | Female, 80.6% |
Happy | 36.1% |
Calm | 27.8% |
Sad | 20.3% |
Angry | 8.1% |
Surprised | 7.1% |
Fear | 6.7% |
Disgusted | 5% |
Confused | 2% |
Microsoft Cognitive Services
Age | 37 |
Gender | Female |
Text analysis
Amazon
cm
AAP
cm
cm