Machine Generated Data
Tags
Amazon
created on 2022-01-15
Clarifai
created on 2023-10-25
people | 99.6 | |
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illustration | 98.2 | |
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adult | 98.2 | |
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monochrome | 97.4 | |
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94.1 | ||
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man | 93.3 | |
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movie | 92.4 | |
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group | 92.3 | |
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bill | 92.1 | |
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administration | 88.2 | |
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art | 88 | |
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vertical | 87.9 | |
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one | 87.1 | |
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picture frame | 86.7 | |
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text | 86.2 | |
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vintage | 84.5 | |
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chair | 84.4 | |
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card | 82.6 | |
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retro | 82.3 | |
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music | 82.2 | |
|
Imagga
created on 2022-01-15
sewing machine | 93.4 | |
| ||
home appliance | 74.8 | |
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textile machine | 74.7 | |
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machine | 59.3 | |
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appliance | 55.5 | |
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book jacket | 45.3 | |
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device | 41.6 | |
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durables | 37.4 | |
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jacket | 35.3 | |
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wrapping | 26.8 | |
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automaton | 22.3 | |
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covering | 18.9 | |
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consumer goods | 18.6 | |
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vintage | 14.9 | |
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equipment | 14.2 | |
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old | 13.2 | |
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stamp | 12.6 | |
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12.4 | ||
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retro | 12.3 | |
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technology | 11.9 | |
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postmark | 11.8 | |
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black | 11.4 | |
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people | 11.1 | |
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man | 10.7 | |
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letter | 10.1 | |
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postage | 9.8 | |
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one | 9.7 | |
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close | 9.1 | |
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printed | 8.8 | |
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detail | 8.8 | |
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postal | 8.8 | |
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envelope | 8.8 | |
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play | 8.6 | |
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business | 8.5 | |
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card | 8.5 | |
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professional | 8.4 | |
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person | 8.3 | |
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music | 8.1 | |
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computer | 8 | |
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philately | 7.9 | |
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circa | 7.9 | |
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shows | 7.9 | |
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work | 7.8 | |
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cutting | 7.7 | |
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post | 7.6 | |
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electronic | 7.5 | |
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symbol | 7.4 | |
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global | 7.3 | |
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metal | 7.2 | |
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male | 7.1 | |
|
Google
created on 2022-01-15
Motor vehicle | 88.5 | |
| ||
Poster | 85.3 | |
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Font | 82.4 | |
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Machine | 72.6 | |
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Art | 71.3 | |
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Illustration | 70.4 | |
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Vintage clothing | 66.9 | |
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Advertising | 66.7 | |
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Machine tool | 62.7 | |
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Classic | 62.2 | |
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Vintage advertisement | 55.7 | |
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History | 54.6 | |
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Retro style | 52.9 | |
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Monochrome | 50.5 | |
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Monochrome photography | 50.2 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 49-57 |
Gender | Male, 99.9% |
Sad | 78.3% |
Happy | 6.3% |
Calm | 5.8% |
Confused | 4.2% |
Surprised | 1.7% |
Angry | 1.5% |
Disgusted | 1.3% |
Fear | 0.8% |

AWS Rekognition
Age | 27-37 |
Gender | Female, 50.7% |
Calm | 79% |
Happy | 13.3% |
Sad | 4.1% |
Confused | 1.4% |
Angry | 1.1% |
Disgusted | 0.4% |
Surprised | 0.4% |
Fear | 0.3% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 88% |
Sad | 61.5% |
Happy | 20.9% |
Confused | 8% |
Calm | 7.7% |
Disgusted | 0.9% |
Angry | 0.5% |
Fear | 0.3% |
Surprised | 0.1% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
Feature analysis
Categories
Imagga
paintings art | 100% | |
|
Captions
Microsoft
created on 2022-01-15
a person holding a book | 33.6% | |
| ||
a close up of a person holding a book | 28.9% | |
| ||
a close up of a book | 28.8% | |
|
Text analysis
Amazon

1950

MERRY

MERRY CHRISTMAS

CHRISTMAS

the

the Stemmetzes

Stemmetzes

The

GRAPHEY

RAFIEL GRAPHEY

RAFIEL

KODAKAE

MERRY CHRISTMAS
the Stemmetzes
1950
KODVK-2VEEA
r

MERRY

CHRISTMAS

the

Stemmetzes

1950

KODVK-2VEEA

r