Machine Generated Data
Tags
Amazon
created on 2020-04-30
Clarifai
created on 2020-04-30
Imagga
created on 2020-04-30
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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grunge | 27.2 | |
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old | 27.2 | |
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paper | 25.1 | |
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texture | 22.9 | |
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antique | 21.6 | |
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vintage | 21.5 | |
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money | 21.3 | |
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ancient | 20.8 | |
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currency | 20.6 | |
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cash | 20.1 | |
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wall | 18.8 | |
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banking | 18.4 | |
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art | 18.2 | |
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aged | 18.1 | |
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close | 17.1 | |
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dollar | 16.7 | |
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retro | 16.4 | |
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bill | 16.2 | |
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grungy | 16.1 | |
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finance | 16 | |
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frame | 15.8 | |
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pattern | 15.7 | |
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bank | 14.3 | |
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wealth | 13.5 | |
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financial | 13.4 | |
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space | 13.2 | |
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blank | 12.9 | |
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business | 12.8 | |
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textured | 12.3 | |
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design | 11.8 | |
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border | 11.8 | |
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dirty | 11.7 | |
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us | 11.6 | |
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savings | 11.2 | |
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rich | 11.2 | |
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stone | 11 | |
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rough | 10.9 | |
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paint | 10.9 | |
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black | 10.8 | |
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banknotes | 10.8 | |
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dollars | 10.6 | |
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text | 10.5 | |
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one | 10.5 | |
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architecture | 10.2 | |
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pay | 9.6 | |
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aging | 9.6 | |
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brown | 9.6 | |
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dirt | 9.5 | |
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exchange | 9.5 | |
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economy | 9.3 | |
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house | 9.2 | |
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gray | 9 | |
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stained | 8.6 | |
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parchment | 8.6 | |
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sculpture | 8.6 | |
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worn | 8.6 | |
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investment | 8.2 | |
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material | 8 | |
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decoration | 7.9 | |
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burnt | 7.8 | |
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portrait | 7.8 | |
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hundred | 7.7 | |
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payment | 7.7 | |
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loan | 7.7 | |
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damaged | 7.6 | |
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canvas | 7.6 | |
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page | 7.4 | |
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closeup | 7.4 | |
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graphic | 7.3 | |
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success | 7.2 | |
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detail | 7.2 | |
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color | 7.2 | |
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surface | 7.1 | |
|
Google
created on 2020-04-30
Drawing | 83.7 | |
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Portrait | 81.9 | |
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Art | 75.5 | |
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Self-portrait | 71.4 | |
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Sketch | 69.6 | |
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Stock photography | 68.5 | |
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Monochrome | 67.6 | |
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Photography | 62.4 | |
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Artwork | 60.6 | |
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Illustration | 60.2 | |
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Visual arts | 59.3 | |
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Black-and-white | 56.4 | |
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Facial hair | 55.5 | |
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Physicist | 50.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 44-62 |
Gender | Male, 84.5% |
Sad | 0.2% |
Surprised | 0.4% |
Calm | 2.8% |
Happy | 0.2% |
Confused | 0.4% |
Disgusted | 93.4% |
Fear | 0.3% |
Angry | 2.1% |
Microsoft Cognitive Services
Age | 55 |
Gender | Male |
Feature analysis
Text analysis
Amazon
Vlanhit