Machine Generated Data
Tags
Amazon
created on 2022-05-06
Clarifai
created on 2023-10-16
Imagga
created on 2022-05-06
money | 47.6 | |
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currency | 41.3 | |
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coin | 40.1 | |
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finance | 33.8 | |
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cash | 32 | |
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coins | 30.9 | |
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wealth | 29.6 | |
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bank | 29.6 | |
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financial | 25.8 | |
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buckle | 25.7 | |
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device | 25 | |
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fastener | 24.2 | |
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metal | 23.3 | |
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dollar | 22.3 | |
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silver | 22.1 | |
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ingot | 20.9 | |
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banking | 20.2 | |
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exchange | 20 | |
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black | 19.3 | |
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change | 19.2 | |
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shiny | 19 | |
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close | 18.8 | |
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pay | 18.2 | |
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round | 18.1 | |
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restraint | 18.1 | |
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savings | 17.7 | |
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economy | 17.6 | |
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pick | 17.4 | |
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one | 17.2 | |
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block | 17.1 | |
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gold | 16.4 | |
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business | 16.4 | |
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rich | 15.8 | |
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treasure | 14.5 | |
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shine | 13.8 | |
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numismatics | 12.9 | |
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gem | 12.7 | |
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reflection | 12.2 | |
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commerce | 12.1 | |
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investment | 11.9 | |
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monetary | 11.7 | |
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object | 11.7 | |
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closeup | 11.5 | |
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covering | 10.9 | |
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value | 10.7 | |
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finances | 10.6 | |
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crystal | 10.6 | |
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baseball glove | 10.5 | |
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bill | 10.5 | |
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old | 10.5 | |
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buy | 10.3 | |
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collection | 9.9 | |
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cent | 9.8 | |
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gemstone | 9.8 | |
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copper | 9.8 | |
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market | 9.8 | |
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mask | 9.7 | |
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jewel | 9.7 | |
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pound | 9.7 | |
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payment | 9.6 | |
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clear | 9.6 | |
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symbol | 9.4 | |
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transparent | 9 | |
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penny | 8.9 | |
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jewelry | 8.7 | |
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precious | 8.7 | |
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diamond | 8.7 | |
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us | 8.7 | |
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brilliant | 8.6 | |
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paper | 8.6 | |
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luxury | 8.6 | |
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love | 7.9 | |
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facet | 7.9 | |
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stone | 7.8 | |
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bills | 7.8 | |
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gift | 7.7 | |
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states | 7.7 | |
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dollars | 7.7 | |
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price | 7.7 | |
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two | 7.6 | |
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england | 7.6 | |
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sale | 7.4 | |
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retro | 7.4 | |
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romance | 7.1 | |
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antique | 7.1 | |
|
Google
created on 2022-05-06
Vertebrate | 92.1 | |
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Artifact | 86 | |
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Mammal | 85.5 | |
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Nickel | 79.1 | |
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Currency | 71.7 | |
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Metal | 71.4 | |
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Font | 70.7 | |
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Coin | 68.3 | |
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Fashion accessory | 67.7 | |
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History | 67.2 | |
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Natural material | 66.8 | |
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Silver | 66.5 | |
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Circle | 65.9 | |
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Art | 64.4 | |
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Money | 62.5 | |
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Still life photography | 62 | |
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Event | 61.8 | |
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Ancient history | 61.6 | |
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Macro photography | 59.8 | |
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Darkness | 58.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 31-41 |
Gender | Female, 98.4% |
Sad | 100% |
Calm | 10.1% |
Fear | 6.9% |
Surprised | 6.4% |
Happy | 0.7% |
Angry | 0.5% |
Disgusted | 0.4% |
Confused | 0.4% |
Microsoft Cognitive Services
Age | 24 |
Gender | Female |
Feature analysis
Amazon
Helmet | 69.1% | |
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Text analysis
Amazon
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