Machine Generated Data
Tags
Clarifai
created on 2020-05-02
Imagga
created on 2020-05-02
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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grunge | 36.6 | |
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vintage | 33.1 | |
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paper | 33 | |
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retro | 32.8 | |
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old | 32.8 | |
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texture | 29.9 | |
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aged | 27.2 | |
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antique | 26.8 | |
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dirty | 25.3 | |
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ancient | 23.4 | |
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grungy | 22.8 | |
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frame | 21.7 | |
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pattern | 19.8 | |
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art | 19.5 | |
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rough | 19.1 | |
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blank | 18.9 | |
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border | 16.3 | |
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design | 15.8 | |
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damaged | 15.3 | |
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textured | 14.9 | |
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money | 14.5 | |
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currency | 14.4 | |
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cash | 13.7 | |
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paint | 13.6 | |
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material | 13.4 | |
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close | 13.1 | |
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page | 13 | |
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banking | 12.9 | |
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decorative | 12.5 | |
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bill | 12.4 | |
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card | 11.9 | |
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finance | 11.8 | |
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brown | 11.8 | |
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bank | 11.7 | |
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space | 11.6 | |
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aging | 11.5 | |
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text | 11.4 | |
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empty | 11.2 | |
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wall | 11.1 | |
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letter | 11 | |
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graphic | 11 | |
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surface | 10.6 | |
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worn | 10.5 | |
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dirt | 10.5 | |
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dollar | 10.2 | |
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note | 10.1 | |
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manuscript | 9.8 | |
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burnt | 9.7 | |
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style | 9.7 | |
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parchment | 9.6 | |
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pay | 9.6 | |
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canvas | 9.5 | |
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color | 9.5 | |
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wallpaper | 9.2 | |
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backdrop | 9.1 | |
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stamp | 8.7 | |
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payment | 8.7 | |
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floral | 8.5 | |
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business | 8.5 | |
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sheet | 8.5 | |
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portrait | 8.4 | |
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black | 8.4 | |
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document | 8.4 | |
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cover | 8.3 | |
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backgrounds | 8.1 | |
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closeup | 8.1 | |
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detail | 8.1 | |
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shabby | 7.8 | |
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scratched | 7.8 | |
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torn | 7.7 | |
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ink | 7.7 | |
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stained | 7.7 | |
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flower | 7.7 | |
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obsolete | 7.7 | |
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exchange | 7.6 | |
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rich | 7.5 | |
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economy | 7.4 | |
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symbol | 7.4 | |
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message | 7.3 | |
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financial | 7.1 | |
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Google
created on 2020-05-02
Microsoft
created on 2020-05-02
sketch | 99.8 | |
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drawing | 99.8 | |
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text | 98.4 | |
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child art | 96.1 | |
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art | 95.1 | |
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illustration | 80.9 | |
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ink | 75.8 | |
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handwriting | 68.2 | |
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human face | 67.2 | |
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cartoon | 62.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 20-32 |
Gender | Male, 68.1% |
Disgusted | 0.2% |
Fear | 0.3% |
Confused | 8% |
Calm | 70.2% |
Angry | 6.6% |
Happy | 0.1% |
Sad | 14.4% |
Surprised | 0.3% |
Microsoft Cognitive Services
Age | 34 |
Gender | Male |
Feature analysis
Amazon
Person | 72.8% | |
|
Text analysis
Amazon
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