Machine Generated Data
Tags
Amazon
created on 2019-11-06
Clarifai
created on 2019-11-06
Imagga
created on 2019-11-06
representation | 33.2 | |
| ||
mug shot | 29.1 | |
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book jacket | 28.6 | |
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photograph | 23.6 | |
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jacket | 23.2 | |
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sketch | 22.8 | |
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drawing | 19.7 | |
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portrait | 19.4 | |
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creation | 19.4 | |
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wrapping | 16.9 | |
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face | 16.3 | |
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model | 16.3 | |
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person | 15.9 | |
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people | 15.6 | |
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man | 15.5 | |
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dress | 14.5 | |
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art | 14.4 | |
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pretty | 13.3 | |
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attractive | 13.3 | |
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old | 13.2 | |
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covering | 13.2 | |
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fashion | 12.8 | |
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black | 12.8 | |
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hair | 12.7 | |
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adult | 12.5 | |
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brunette | 12.2 | |
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head | 11.8 | |
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vintage | 11.6 | |
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sexy | 11.2 | |
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body | 11.2 | |
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money | 11.1 | |
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makeup | 11 | |
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closeup | 10.8 | |
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cute | 10.8 | |
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male | 10.7 | |
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retro | 10.6 | |
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mask | 10.6 | |
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currency | 9.9 | |
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card | 9.4 | |
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dollar | 9.3 | |
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banking | 9.2 | |
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cash | 9.1 | |
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decoration | 9.1 | |
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sensuality | 9.1 | |
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human | 9 | |
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style | 8.9 | |
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reflection | 8.9 | |
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costume | 8.7 | |
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stamp | 8.7 | |
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8.6 | ||
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eyes | 8.6 | |
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culture | 8.5 | |
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business | 8.5 | |
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power | 8.4 | |
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elegance | 8.4 | |
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comic book | 8.4 | |
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happy | 8.1 | |
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posing | 8 | |
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close | 8 | |
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philately | 7.9 | |
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love | 7.9 | |
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carnival | 7.8 | |
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ancient | 7.8 | |
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men | 7.7 | |
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elegant | 7.7 | |
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grunge | 7.7 | |
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dance | 7.6 | |
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exchange | 7.6 | |
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bill | 7.6 | |
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poster | 7.6 | |
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sport | 7.5 | |
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world | 7.5 | |
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feminine | 7.5 | |
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design | 7.4 | |
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gorgeous | 7.2 | |
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detail | 7.2 | |
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paper | 7.1 | |
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romantic | 7.1 | |
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look | 7 | |
|
Google
created on 2019-11-06
Photograph | 95.3 | |
| ||
Vintage clothing | 77.9 | |
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Illustration | 73.8 | |
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Art | 70.9 | |
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Retro style | 63.9 | |
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Photography | 62.4 | |
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Painting | 56 | |
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Mother | 53.4 | |
|
Microsoft
created on 2019-11-06
text | 100 | |
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drawing | 99.6 | |
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book | 99.5 | |
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sketch | 99.5 | |
| ||
painting | 87.7 | |
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human face | 83.8 | |
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child art | 81.4 | |
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cartoon | 78.1 | |
| ||
person | 71 | |
| ||
illustration | 57.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 48-66 |
Gender | Female, 61.1% |
Surprised | 6.1% |
Fear | 10.2% |
Sad | 27.6% |
Calm | 49.8% |
Confused | 1.3% |
Angry | 3% |
Happy | 1.4% |
Disgusted | 0.6% |
AWS Rekognition
Age | 26-42 |
Gender | Female, 65.6% |
Happy | 2.4% |
Calm | 22.5% |
Fear | 0.8% |
Sad | 70.8% |
Angry | 2.2% |
Confused | 0.6% |
Disgusted | 0.5% |
Surprised | 0.2% |
Feature analysis
Text analysis
Amazon
du
de
intime
Tendresse
EN
1852
PARISIENS
des
etrennes.
solennel
janvier
Tendresse conjugale: Scene intime du janvier de chaque annee ,jour solennel des etrennes.
annee
LES PARISIENS EN 1852
Scene
conjugale:
chaque
,jour
222
16
LES
Crissa
Imp
Pana
des Mnracles
PAnTuR Crissa 16 Pana Imp th Tiinsq Coe des Mnracles JParus
JParus
Coe
th
Tiinsq
PAnTuR
LES PARISIENS EN 1852
Che Pantuer&rue du Crassat,16.Parta
Imp Ch Trinac Coar its Miracles Pars.
Tendresse conjugale :_- Scene intime du 1 janvier de chaque anée, joar solenel des étrennes.
222y
LES
PARISIENS
EN
du
Crassat,16.Parta
Imp
Ch
Trinac
Coar
conjugale
1
janvier
de
chaque
joar
solenel
des
étrennes.
222y
1852
Che
Pantuer&rue
its
Miracles
Pars.
Tendresse
:_-
Scene
intime
anée,