Machine Generated Data
Tags
Clarifai
created on 2023-10-16
Imagga
created on 2022-04-22
coin | 32.4 | |
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money | 32.3 | |
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currency | 30.5 | |
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moon | 30.1 | |
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black | 24.7 | |
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finance | 24.5 | |
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planet | 23.8 | |
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space | 20.2 | |
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close | 19.4 | |
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night | 18.7 | |
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astronomy | 18.6 | |
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cash | 18.3 | |
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financial | 17.8 | |
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coins | 17.4 | |
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round | 17.3 | |
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metal | 16.9 | |
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banking | 16.6 | |
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wealth | 16.2 | |
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silver | 15.9 | |
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dark | 15 | |
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bank | 14.3 | |
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science | 14.2 | |
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globe | 13.9 | |
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sphere | 13.8 | |
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earth | 13.7 | |
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universe | 13.7 | |
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surface | 13.2 | |
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sky | 12.8 | |
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shiny | 12.7 | |
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shield | 12.2 | |
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economy | 12.1 | |
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invertebrate | 11.9 | |
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full | 11.9 | |
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star | 11.9 | |
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orbit | 11.8 | |
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cent | 11.8 | |
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amulet | 11.7 | |
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antique | 11.6 | |
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world | 11.5 | |
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satellite | 11.2 | |
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object | 11 | |
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business | 10.9 | |
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numismatics | 10.9 | |
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gold | 10.7 | |
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savings | 10.3 | |
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dollar | 10.2 | |
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crater | 10.2 | |
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shine | 10.1 | |
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cosmos | 9.7 | |
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change | 9.6 | |
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pay | 9.6 | |
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stars | 9.4 | |
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gem | 9.4 | |
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charm | 9.3 | |
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reflection | 9.3 | |
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fastener | 9.2 | |
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old | 9.1 | |
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collection | 9 | |
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armor | 9 | |
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one | 9 | |
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lunar | 8.9 | |
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solar | 8.8 | |
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sea | 8.6 | |
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device | 8.5 | |
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commerce | 8.4 | |
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investment | 8.2 | |
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horizon | 8.1 | |
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closeup | 8.1 | |
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bright | 7.9 | |
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antiquity | 7.8 | |
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render | 7.8 | |
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galaxy | 7.8 | |
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cloud | 7.8 | |
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3d | 7.7 | |
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pound | 7.7 | |
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exchange | 7.6 | |
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ingot | 7.5 | |
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symbol | 7.4 | |
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light | 7.4 | |
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mollusk | 7.3 | |
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protective covering | 7.3 | |
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global | 7.3 | |
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sun | 7.2 | |
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detail | 7.2 | |
|
Google
created on 2022-04-22
Chin | 96.6 | |
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Currency | 84.3 | |
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Artifact | 83.1 | |
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Art | 76.3 | |
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Circle | 74.8 | |
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Font | 73.8 | |
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Money | 73.4 | |
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Metal | 70.9 | |
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Darkness | 69.2 | |
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Fashion accessory | 67.6 | |
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History | 66.7 | |
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Nickel | 66.6 | |
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Monochrome photography | 65.4 | |
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Still life photography | 60.4 | |
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Macro photography | 57.3 | |
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Rock | 57 | |
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Sculpture | 56.4 | |
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Monochrome | 55.5 | |
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Antique | 55.2 | |
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Glass | 50.7 | |
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Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 25-35 |
Gender | Male, 95.6% |
Sad | 91.6% |
Calm | 47.1% |
Fear | 7.3% |
Surprised | 6.9% |
Angry | 1.9% |
Disgusted | 1.3% |
Happy | 0.9% |
Confused | 0.6% |
Microsoft Cognitive Services
Age | 23 |
Gender | Male |
Text analysis
Amazon
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