Machine Generated Data
Tags
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-06
ingot | 100 | |
| ||
block | 97.6 | |
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shield | 71.5 | |
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money | 66.4 | |
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coin | 64 | |
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currency | 62.9 | |
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armor | 56.8 | |
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finance | 51.6 | |
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cash | 49.5 | |
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coins | 48.3 | |
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protective covering | 42.8 | |
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bank | 40.4 | |
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financial | 37.5 | |
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banking | 35.9 | |
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wealth | 31.5 | |
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metal | 31.4 | |
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covering | 28.2 | |
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gold | 28 | |
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pay | 26.9 | |
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dollar | 26 | |
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exchange | 25.8 | |
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close | 24.6 | |
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business | 24.3 | |
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economy | 23.2 | |
| ||
one | 23.2 | |
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change | 23.1 | |
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silver | 23 | |
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cent | 21.6 | |
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old | 21.6 | |
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object | 19.1 | |
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savings | 18.7 | |
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shiny | 18.2 | |
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collection | 18 | |
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numismatics | 17.8 | |
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monetary | 17.6 | |
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finances | 17.4 | |
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us | 17.4 | |
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commerce | 16.8 | |
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investment | 16.5 | |
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penny | 14.8 | |
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retro | 14.8 | |
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copper | 14.7 | |
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pound | 14.5 | |
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payment | 14.4 | |
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closeup | 14.2 | |
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round | 13.8 | |
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value | 13.6 | |
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dollars | 13.5 | |
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historical | 13.2 | |
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buy | 13.2 | |
| ||
rich | 12.1 | |
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golden | 12.1 | |
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two | 11.9 | |
| ||
collect | 11.8 | |
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vintage | 11.6 | |
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market | 11.6 | |
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symbol | 10.8 | |
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crisis | 10.7 | |
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states | 10.6 | |
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united | 10.5 | |
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coinage | 9.9 | |
| ||
funds | 9.8 | |
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antique | 9.5 | |
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liberty | 8.8 | |
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spend | 8.8 | |
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ancient | 8.7 | |
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england | 8.6 | |
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bill | 8.6 | |
| ||
stock | 8.4 | |
| ||
note | 8.3 | |
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ruble | 7.9 | |
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currencies | 7.9 | |
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economics | 7.8 | |
| ||
circle | 7.7 | |
| ||
treasure | 7.7 | |
| ||
debt | 7.7 | |
| ||
credit | 7.7 | |
|
Google
created on 2022-05-06
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-33 |
Gender | Female, 92.6% |
Sad | 97.2% |
Calm | 35.6% |
Disgusted | 8.4% |
Surprised | 6.4% |
Fear | 6% |
Confused | 2.6% |
Angry | 0.6% |
Happy | 0.4% |
AWS Rekognition
Age | 22-30 |
Gender | Female, 60% |
Calm | 62% |
Sad | 60.3% |
Surprised | 6.5% |
Fear | 6.1% |
Happy | 3.8% |
Confused | 1.5% |
Disgusted | 1% |
Angry | 0.8% |
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
Feature analysis
Amazon
Person | 71.9% | |
|
Text analysis
Amazon
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