Machine Generated Data
Tags
Amazon
created on 2019-11-07
Clarifai
created on 2019-11-07
Imagga
created on 2019-11-07
envelope | 100 | |
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container | 51.1 | |
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paper | 31.4 | |
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money | 26.4 | |
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binding | 26.1 | |
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stamp | 25.1 | |
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vintage | 24 | |
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currency | 23.4 | |
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23 | ||
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old | 22.3 | |
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cash | 20.2 | |
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postage | 19.7 | |
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business | 19.5 | |
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post | 19.1 | |
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bill | 19 | |
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letter | 18.4 | |
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postmark | 17.8 | |
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retro | 17.2 | |
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bank | 17 | |
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banking | 16.6 | |
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finance | 16.1 | |
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dollar | 15.8 | |
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wealth | 15.3 | |
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savings | 14.9 | |
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book | 14.9 | |
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symbol | 14.8 | |
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postal | 14.7 | |
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financial | 14.3 | |
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aged | 13.6 | |
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sign | 13.6 | |
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note | 12.9 | |
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card | 12.3 | |
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passport | 11.9 | |
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global | 11.9 | |
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circa | 11.8 | |
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international | 11.5 | |
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one | 11.2 | |
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blank | 11.2 | |
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product | 11 | |
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message | 11 | |
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philately | 10.9 | |
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stamps | 10.9 | |
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collection | 10.8 | |
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dollars | 10.6 | |
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exchange | 10.5 | |
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ancient | 10.4 | |
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banknote | 9.7 | |
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hundred | 9.7 | |
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book jacket | 9.7 | |
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grunge | 9.4 | |
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rich | 9.3 | |
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economy | 9.3 | |
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investment | 9.2 | |
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history | 9 | |
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foreign | 8.9 | |
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printed | 8.9 | |
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queen | 8.8 | |
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object | 8.8 | |
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states | 8.7 | |
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antique | 8.7 | |
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payment | 8.7 | |
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covering | 8.7 | |
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pay | 8.6 | |
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notes | 8.6 | |
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design | 8.6 | |
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national | 8.2 | |
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creation | 8.1 | |
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office | 8 | |
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close | 8 | |
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country | 8 | |
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shows | 7.9 | |
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package | 7.9 | |
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bills | 7.8 | |
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us | 7.7 | |
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culture | 7.7 | |
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communications | 7.7 | |
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jacket | 7.5 | |
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shopping | 7.5 | |
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security | 7.4 | |
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backgrounds | 7.3 | |
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black | 7.2 | |
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world | 7.1 | |
|
Google
created on 2019-11-07
Art | 80.6 | |
| ||
Picture frame | 79.2 | |
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Illustration | 79 | |
| ||
Room | 71.4 | |
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Photography | 62.4 | |
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Painting | 60.3 | |
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Visual arts | 59.3 | |
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Portrait | 51.6 | |
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Paper | 51 | |
|
Microsoft
created on 2019-11-07
drawing | 98.1 | |
| ||
human face | 97.5 | |
| ||
gallery | 93.7 | |
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sketch | 92.3 | |
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envelope | 86.4 | |
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person | 85.3 | |
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stationary | 83.4 | |
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clothing | 82.1 | |
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text | 77.3 | |
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room | 76.9 | |
| ||
art | 66.6 | |
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painting | 56.2 | |
| ||
businesscard | 16.2 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 50-68 |
Gender | Female, 89.5% |
Confused | 0.2% |
Sad | 91.1% |
Calm | 8.3% |
Fear | 0.1% |
Disgusted | 0.1% |
Angry | 0.2% |
Happy | 0% |
Surprised | 0% |
Microsoft Cognitive Services
Age | 68 |
Gender | Female |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 97.5% | |
|
Text analysis
Amazon
CA
CeAA
CeAA