Machine Generated Data
Tags
Amazon
created on 2019-05-22
Clarifai
created on 2019-05-22
Imagga
created on 2019-05-22
envelope | 100 | |
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container | 57 | |
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vintage | 34.8 | |
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stamp | 32.9 | |
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29.7 | ||
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retro | 28.7 | |
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postmark | 27.6 | |
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old | 27.2 | |
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postage | 25.6 | |
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letter | 23.9 | |
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postal | 22.6 | |
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map | 22.4 | |
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flag | 22.2 | |
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tray | 21.7 | |
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card | 20.4 | |
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ancient | 19.9 | |
| ||
philately | 19.7 | |
| ||
aged | 19 | |
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circa | 18.7 | |
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receptacle | 17.5 | |
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pillow | 17.4 | |
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printed | 16.7 | |
| ||
grunge | 16.2 | |
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message | 15.5 | |
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antique | 14.7 | |
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global | 14.6 | |
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emblem | 14.5 | |
| ||
post | 14.3 | |
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world | 14.2 | |
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shows | 13.8 | |
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symbol | 13.5 | |
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paper | 13.3 | |
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cushion | 13.3 | |
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stamps | 12.8 | |
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money | 12.8 | |
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address | 12.7 | |
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geography | 12.5 | |
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design | 12.4 | |
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art | 12.4 | |
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post office | 10.9 | |
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soviet | 10.8 | |
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drawing | 10.3 | |
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graphic | 10.2 | |
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padding | 10 | |
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country | 9.7 | |
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pattern | 9.6 | |
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dirty | 9 | |
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currency | 9 | |
| ||
success | 8.9 | |
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decoration | 8.8 | |
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business | 8.5 | |
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finance | 8.4 | |
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texture | 8.3 | |
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paint | 8.1 | |
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collection | 8.1 | |
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black | 7.8 | |
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color | 7.8 | |
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navigation | 7.7 | |
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international | 7.6 | |
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communication | 7.6 | |
| ||
sign | 7.5 | |
| ||
house | 7.5 | |
| ||
fun | 7.5 | |
| ||
city | 7.5 | |
| ||
greeting | 7.4 | |
| ||
sport | 7.4 | |
| ||
competition | 7.3 | |
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border | 7.2 | |
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history | 7.2 | |
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travel | 7 | |
|
Google
created on 2019-05-22
Painting | 63 | |
| ||
Art | 62.5 | |
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Illustration | 60.2 | |
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Rectangle | 57.7 | |
|
Microsoft
created on 2019-05-22
cartoon | 99.4 | |
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drawing | 97 | |
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child art | 93.8 | |
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painting | 86.3 | |
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clothing | 85.1 | |
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illustration | 82.3 | |
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person | 81.2 | |
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poster | 61.9 | |
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envelope | 59.6 | |
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picture frame | 31.1 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.1% |
Angry | 53.6% |
Sad | 45.4% |
Surprised | 45.3% |
Happy | 45.4% |
Calm | 45.1% |
Disgusted | 45.1% |
Confused | 45.1% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.9% |
Happy | 45.4% |
Sad | 49.2% |
Surprised | 45.5% |
Disgusted | 45.9% |
Calm | 47.1% |
Confused | 45.3% |
Angry | 46.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 54.7% |
Sad | 53.2% |
Calm | 45.5% |
Confused | 45.1% |
Disgusted | 45.1% |
Angry | 45.6% |
Surprised | 45.2% |
Happy | 45.3% |

AWS Rekognition
Age | 17-27 |
Gender | Male, 51.5% |
Happy | 45.9% |
Sad | 46% |
Calm | 45.7% |
Disgusted | 45.5% |
Confused | 45.3% |
Angry | 50.9% |
Surprised | 45.7% |
Feature analysis
Categories
Imagga
paintings art | 83.4% | |
| ||
interior objects | 14.2% | |
| ||
cars vehicles | 1.1% | |
|
Captions
Text analysis
Amazon

16

4R

Ereasun