Machine Generated Data
Tags
Amazon
created on 2023-10-25
Art | 100 | |
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Painting | 100 | |
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Person | 98.5 | |
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Person | 98.1 | |
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Person | 96.4 | |
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Person | 96.4 | |
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Person | 95.6 | |
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Person | 95 | |
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Person | 89.8 | |
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Baby | 89.8 | |
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Person | 88.1 | |
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Person | 73.7 | |
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Person | 72.6 | |
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Head | 67.8 | |
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Face | 66.5 | |
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Animal | 64.4 | |
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Mammal | 64.4 | |
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Wildlife | 64.4 | |
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Zebra | 64.4 | |
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Horse | 63.9 | |
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Accessories | 57.2 | |
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Ornament | 57.2 | |
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Tapestry | 57.2 | |
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Archaeology | 57.1 | |
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Text | 55.5 | |
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Outdoors | 55.1 | |
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Clarifai
created on 2019-02-18
Imagga
created on 2019-02-18
sketch | 100 | |
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drawing | 84.3 | |
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representation | 64 | |
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graffito | 50.7 | |
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decoration | 39.1 | |
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old | 27.2 | |
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vintage | 25.6 | |
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grunge | 25.5 | |
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ancient | 25.1 | |
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art | 24.5 | |
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paper | 23.5 | |
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antique | 19.9 | |
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retro | 18.8 | |
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history | 16.1 | |
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texture | 15.3 | |
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design | 15.3 | |
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travel | 14.1 | |
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old fashioned | 13.3 | |
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money | 12.8 | |
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textured | 12.3 | |
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frame | 11.7 | |
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pattern | 11.6 | |
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style | 11.1 | |
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decorative | 10.9 | |
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dirty | 10.8 | |
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black | 10.8 | |
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bank | 10.7 | |
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wall | 10.5 | |
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detail | 10.5 | |
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artistic | 10.4 | |
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architecture | 10.2 | |
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tourism | 9.9 | |
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currency | 9.9 | |
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landscape | 9.7 | |
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brown | 9.6 | |
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sculpture | 9.4 | |
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finance | 9.3 | |
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banking | 9.2 | |
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letter | 9.2 | |
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historic | 9.2 | |
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cash | 9.2 | |
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business | 9.1 | |
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aged | 9 | |
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zebra | 9 | |
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temple | 8.5 | |
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grungy | 8.5 | |
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flower | 8.5 | |
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city | 8.3 | |
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note | 8.3 | |
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symbol | 8.1 | |
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financial | 8 | |
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close | 8 | |
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surface | 7.9 | |
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sepia | 7.8 | |
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empty | 7.7 | |
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us | 7.7 | |
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blank | 7.7 | |
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culture | 7.7 | |
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pay | 7.7 | |
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worn | 7.6 | |
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damaged | 7.6 | |
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snow | 7.6 | |
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traditional | 7.5 | |
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dollar | 7.4 | |
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paint | 7.2 | |
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painting | 7.2 | |
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stone | 7.1 | |
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sky | 7 | |
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Google
created on 2019-02-18
Botany | 81 | |
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Art | 75.5 | |
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Organism | 71.5 | |
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Adaptation | 67 | |
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Printmaking | 62.8 | |
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Painting | 62.2 | |
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Plant | 58.5 | |
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Illustration | 54.5 | |
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Drawing | 53.7 | |
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Perennial plant | 50.3 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 23-33 |
Gender | Male, 98.6% |
Calm | 94.8% |
Surprised | 6.5% |
Fear | 6.1% |
Disgusted | 2.6% |
Sad | 2.3% |
Happy | 0.4% |
Angry | 0.3% |
Confused | 0.2% |
Feature analysis
Text analysis
Amazon
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Sic
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aut lento contextis imine Carpa
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