Machine Generated Data
Tags
Amazon
created on 2019-11-10
Clarifai
created on 2019-11-10
Imagga
created on 2019-11-10
sketch | 85.4 | |
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drawing | 67.3 | |
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representation | 52.1 | |
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graffito | 36.3 | |
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decoration | 31 | |
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old | 30.6 | |
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grunge | 27.2 | |
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paper | 24.4 | |
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vintage | 20.7 | |
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antique | 20.3 | |
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texture | 20.1 | |
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money | 18.7 | |
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ancient | 18.2 | |
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design | 17.8 | |
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retro | 17.2 | |
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art | 16.7 | |
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wall | 16.4 | |
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bank | 16.1 | |
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finance | 16.1 | |
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cash | 15.6 | |
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currency | 15.3 | |
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bill | 15.2 | |
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pattern | 15 | |
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historic | 13.7 | |
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aged | 13.6 | |
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dirty | 12.6 | |
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wealth | 12.6 | |
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frame | 12.5 | |
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old fashioned | 12.4 | |
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detail | 12.1 | |
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structure | 11.7 | |
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business | 11.5 | |
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empty | 11.2 | |
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dollar | 11.1 | |
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note | 11 | |
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material | 10.7 | |
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surface | 10.6 | |
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damaged | 10.5 | |
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rusty | 10.5 | |
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savings | 10.3 | |
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grain | 10.1 | |
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banking | 10.1 | |
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wood | 10 | |
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wallpaper | 10 | |
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border | 9.9 | |
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financial | 9.8 | |
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grime | 9.8 | |
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close | 9.7 | |
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decay | 9.6 | |
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style | 9.6 | |
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textured | 9.6 | |
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exchange | 9.5 | |
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architecture | 9.4 | |
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floral | 9.4 | |
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decorative | 9.2 | |
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paint | 9 | |
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backgrounds | 8.9 | |
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fracture | 8.8 | |
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graphic | 8.8 | |
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crumpled | 8.7 | |
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parchment | 8.6 | |
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blank | 8.6 | |
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rich | 8.4 | |
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sign | 8.3 | |
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one | 8.2 | |
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container | 8 | |
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home | 8 | |
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stamp | 7.9 | |
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ragged | 7.8 | |
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mottled | 7.8 | |
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faded | 7.8 | |
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stains | 7.8 | |
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bills | 7.8 | |
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crack | 7.7 | |
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box | 7.7 | |
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dark | 7.5 | |
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backdrop | 7.4 | |
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brown | 7.4 | |
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investment | 7.3 | |
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object | 7.3 | |
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black | 7.2 | |
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building | 7.1 | |
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Google
created on 2019-11-10
Drawing | 81.8 | |
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Art | 76.1 | |
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oxcart | 72.5 | |
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Sketch | 71.8 | |
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Illustration | 71 | |
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Artwork | 67.2 | |
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Vehicle | 63.7 | |
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Visual arts | 62.5 | |
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Picture frame | 59.9 | |
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Painting | 57.1 | |
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Printmaking | 54.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-30 |
Gender | Male, 94.4% |
Sad | 0.1% |
Calm | 0% |
Disgusted | 0% |
Confused | 0.1% |
Happy | 0% |
Fear | 99.5% |
Angry | 0% |
Surprised | 0.3% |
Feature analysis
Text analysis
Amazon
DC
DC
DC