Machine Generated Data
Tags
Amazon
created on 2019-08-07
Clarifai
created on 2019-08-07
Imagga
created on 2019-08-07
drawing | 100 | |
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representation | 100 | |
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sketch | 100 | |
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texture | 25 | |
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old | 24.4 | |
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grunge | 23.9 | |
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antique | 22.5 | |
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art | 21.5 | |
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vintage | 19.9 | |
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paper | 18.8 | |
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textured | 17.5 | |
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ancient | 17.3 | |
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wallpaper | 16.9 | |
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pattern | 16.4 | |
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dirty | 14.5 | |
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travel | 14.1 | |
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backdrop | 14 | |
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text | 14 | |
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detail | 13.7 | |
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frame | 13.3 | |
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color | 12.8 | |
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space | 12.4 | |
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retro | 12.3 | |
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map | 12.1 | |
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close | 12 | |
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world | 11.5 | |
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money | 11.1 | |
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cash | 11 | |
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aged | 10.9 | |
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design | 10.8 | |
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currency | 10.8 | |
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sand | 10.6 | |
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artistic | 10.4 | |
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ornament | 10.4 | |
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dollar | 10.2 | |
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rough | 10 | |
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tourism | 9.9 | |
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atlas | 9.8 | |
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sepia | 9.7 | |
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torn | 9.7 | |
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geography | 9.6 | |
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brown | 9.6 | |
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bill | 9.5 | |
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line | 9.4 | |
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globe | 9.3 | |
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face | 9.2 | |
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gold | 9 | |
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futuristic | 9 | |
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bank | 9 | |
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style | 8.9 | |
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closeup | 8.8 | |
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navigation | 8.7 | |
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yellow | 8.6 | |
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sea | 8.6 | |
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worn | 8.6 | |
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business | 8.5 | |
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planet | 8.5 | |
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finance | 8.5 | |
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document | 8.4 | |
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banking | 8.3 | |
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element | 8.3 | |
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note | 8.3 | |
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effect | 8.2 | |
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shape | 8.2 | |
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fantasy | 8.1 | |
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light | 8 | |
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manuscript | 7.8 | |
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black | 7.8 | |
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empty | 7.7 | |
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capital | 7.6 | |
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beach | 7.6 | |
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grungy | 7.6 | |
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canvas | 7.6 | |
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path | 7.6 | |
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sign | 7.5 | |
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creativity | 7.4 | |
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page | 7.4 | |
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decoration | 7.4 | |
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architecture | 7 | |
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country | 7 | |
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pretty | 7 | |
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Google
created on 2019-08-07
Face | 96.8 | |
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Drawing | 95.2 | |
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Nose | 93.3 | |
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Sketch | 92.6 | |
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Head | 92.1 | |
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Figure drawing | 85.2 | |
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Art | 83.4 | |
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Jaw | 79.8 | |
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Human | 74.7 | |
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Visual arts | 69.9 | |
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Artwork | 68.9 | |
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Illustration | 68.1 | |
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Self-portrait | 63.1 | |
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Painting | 60.3 | |
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Portrait | 51.6 | |
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Microsoft
created on 2019-08-07
drawing | 99.5 | |
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sketch | 99.4 | |
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illustration | 90.6 | |
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text | 89.6 | |
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child art | 78.8 | |
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art | 77.9 | |
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human face | 68.5 | |
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ink | 55.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 57-77 |
Gender | Female, 60.1% |
Disgusted | 1.2% |
Surprised | 4.5% |
Angry | 15.9% |
Calm | 25.4% |
Confused | 7.1% |
Sad | 28.4% |
Happy | 17.5% |
AWS Rekognition
Age | 29-45 |
Gender | Male, 73.5% |
Calm | 37% |
Happy | 6.7% |
Confused | 3.8% |
Surprised | 6.3% |
Disgusted | 1.1% |
Sad | 30.8% |
Angry | 14.5% |
Feature analysis
Amazon
Person | 87.4% | |
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Text analysis
Amazon
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