Machine Generated Data
Tags
Amazon
created on 2022-05-10
Clarifai
created on 2023-10-17
Imagga
created on 2022-05-10
powder | 38.5 | |
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coin | 30.6 | |
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moon | 29.7 | |
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money | 28.1 | |
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planet | 25.4 | |
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currency | 25.2 | |
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finance | 22.8 | |
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cash | 22 | |
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black | 21.7 | |
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face powder | 21.5 | |
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toiletry | 21.5 | |
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financial | 20.5 | |
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coins | 19.3 | |
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round | 19 | |
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space | 18.6 | |
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night | 17.8 | |
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china | 17.2 | |
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bank | 17 | |
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silver | 16.8 | |
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globe | 16.7 | |
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science | 16 | |
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makeup | 15.9 | |
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astronomy | 15.6 | |
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universe | 15.6 | |
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earth | 15.6 | |
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porcelain | 14.5 | |
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world | 14.4 | |
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dark | 14.2 | |
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old | 13.9 | |
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close | 13.7 | |
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metal | 13.7 | |
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sphere | 12.9 | |
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ceramic ware | 12.8 | |
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one | 12.7 | |
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cosmetic | 12.5 | |
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sky | 12.1 | |
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economy | 12.1 | |
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banking | 12 | |
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orbit | 11.8 | |
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object | 11.7 | |
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exchange | 11.5 | |
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satellite | 11.2 | |
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full | 11 | |
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wealth | 10.8 | |
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solar | 10.7 | |
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cosmos | 10.7 | |
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surface | 10.6 | |
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change | 10.6 | |
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shine | 10.1 | |
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ingot | 10.1 | |
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global | 10 | |
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numismatics | 9.9 | |
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lunar | 9.9 | |
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business | 9.7 | |
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shiny | 9.5 | |
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utensil | 9.4 | |
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dollar | 9.3 | |
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crater | 9 | |
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telescope | 9 | |
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antique | 9 | |
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food | 8.7 | |
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payment | 8.7 | |
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pay | 8.6 | |
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sea | 8.6 | |
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commerce | 8.4 | |
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gold | 8.2 | |
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star | 8.2 | |
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closeup | 8.1 | |
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symbol | 8.1 | |
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detail | 8.1 | |
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reflection | 8 | |
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coinage | 7.9 | |
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design | 7.9 | |
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block | 7.8 | |
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atmosphere | 7.7 | |
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finances | 7.7 | |
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system | 7.6 | |
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stars | 7.5 | |
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buy | 7.5 | |
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map | 7.5 | |
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glow | 7.4 | |
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light | 7.4 | |
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investment | 7.3 | |
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circle | 7.2 | |
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horizon | 7.2 | |
|
Google
created on 2022-05-10
Artifact | 82.2 | |
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Circle | 74.7 | |
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Art | 72.9 | |
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Money | 72.5 | |
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Moon | 71.2 | |
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Currency | 69.9 | |
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Metal | 68.4 | |
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Coin | 67.7 | |
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Nickel | 65.7 | |
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Astronomical object | 60.1 | |
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Font | 59.6 | |
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Ancient history | 55.9 | |
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Antique | 55.3 | |
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History | 54.7 | |
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Bronze | 54.4 | |
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Rock | 54.2 | |
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Macro photography | 53 | |
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Still life photography | 52 | |
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Carving | 51 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 31-41 |
Gender | Female, 87.7% |
Sad | 98.9% |
Happy | 18.1% |
Calm | 11% |
Surprised | 7.4% |
Fear | 7.2% |
Angry | 3.8% |
Disgusted | 2.3% |
Confused | 1.5% |
Feature analysis
Text analysis
Amazon
LOUISE
cm
MARRE LOUISE
MARRE