Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
ingot | 100 | |
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block | 82 | |
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money | 69.9 | |
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currency | 67.4 | |
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coin | 65.9 | |
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finance | 55.8 | |
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cash | 53.2 | |
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coins | 50.3 | |
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bank | 44 | |
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banking | 39.6 | |
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financial | 39.3 | |
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metal | 29.8 | |
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pay | 29.8 | |
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wealth | 29.7 | |
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dollar | 27 | |
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close | 26.3 | |
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business | 26.2 | |
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one | 23.9 | |
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exchange | 22.9 | |
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economy | 22.3 | |
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silver | 22.1 | |
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collection | 21.7 | |
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object | 20.5 | |
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old | 20.2 | |
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change | 20.2 | |
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amulet | 19.8 | |
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numismatics | 18.8 | |
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finances | 17.4 | |
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round | 17.3 | |
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us | 16.4 | |
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savings | 15.9 | |
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shiny | 15.8 | |
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cent | 15.7 | |
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charm | 15.7 | |
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gold | 15.6 | |
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retro | 15.6 | |
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historical | 15.1 | |
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commerce | 15 | |
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shield | 14.9 | |
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copper | 14.7 | |
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investment | 14.7 | |
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payment | 14.4 | |
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vintage | 14.1 | |
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collect | 13.8 | |
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buy | 13.2 | |
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rich | 13 | |
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closeup | 12.8 | |
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monetary | 12.7 | |
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pound | 12.6 | |
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dollars | 12.6 | |
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two | 11.9 | |
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penny | 11.8 | |
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symbol | 11.5 | |
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circle | 11.2 | |
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value | 10.7 | |
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market | 10.7 | |
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states | 10.6 | |
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surveying instrument | 10.6 | |
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antique | 10.4 | |
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armor | 10.4 | |
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ancient | 10.4 | |
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united | 9.5 | |
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bill | 9.5 | |
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device | 9.3 | |
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instrument | 9.1 | |
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economics | 8.8 | |
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crisis | 8.7 | |
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england | 8.6 | |
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art | 8.6 | |
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stock | 8.4 | |
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reverse | 7.9 | |
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coinage | 7.9 | |
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eagle | 7.9 | |
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liberty | 7.9 | |
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protective covering | 7.9 | |
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funds | 7.9 | |
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treasure | 7.7 | |
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debt | 7.7 | |
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shine | 7.4 | |
|
Google
created on 2022-05-10
Chin | 96.6 | |
| ||
Coin | 88.2 | |
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Money | 84.1 | |
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Currency | 84.1 | |
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Artifact | 83.1 | |
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Cash | 81.9 | |
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Font | 80.8 | |
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Wood | 79.8 | |
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Nickel | 79 | |
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Circle | 75.9 | |
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Art | 72.8 | |
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Metal | 72.1 | |
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Event | 68.6 | |
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Carving | 67.8 | |
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Natural material | 67.4 | |
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History | 67.4 | |
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Fashion accessory | 66.9 | |
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Money handling | 66.6 | |
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Ancient history | 65.9 | |
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Bronze | 65.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 54-62 |
Gender | Male, 99.9% |
Calm | 98.6% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.3% |
Confused | 0.4% |
Angry | 0.1% |
Disgusted | 0.1% |
Happy | 0.1% |
AWS Rekognition
Age | 51-59 |
Gender | Male, 99.4% |
Calm | 70.9% |
Angry | 22.6% |
Surprised | 6.4% |
Fear | 6.4% |
Sad | 2.8% |
Confused | 2% |
Disgusted | 0.6% |
Happy | 0.2% |
Microsoft Cognitive Services
Age | 71 |
Gender | Male |
Microsoft Cognitive Services
Age | 64 |
Gender | Male |
Text analysis
Amazon
LA
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