Machine Generated Data
Tags
Amazon
created on 2023-10-24
Art | 100 | |
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Painting | 100 | |
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Page | 99.9 | |
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Text | 99.9 | |
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Adult | 98.7 | |
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Female | 98.7 | |
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Person | 98.7 | |
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Woman | 98.7 | |
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Adult | 98.6 | |
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Adult | 98.6 | |
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Female | 98.6 | |
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Female | 98.6 | |
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Person | 98.6 | |
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Woman | 98.6 | |
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Bride | 98.6 | |
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Wedding | 98.6 | |
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Person | 98.4 | |
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Clothing | 98.2 | |
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Hat | 98.2 | |
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Book | 78.7 | |
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Publication | 78.7 | |
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Face | 75.7 | |
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Head | 75.7 | |
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Advertisement | 57 | |
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Fashion | 56.8 | |
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Dress | 56.8 | |
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Drawing | 55.6 | |
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Poster | 55 | |
|
Clarifai
created on 2019-02-19
Imagga
created on 2019-02-19
sketch | 100 | |
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drawing | 100 | |
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representation | 100 | |
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art | 22.3 | |
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old | 18.8 | |
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vintage | 18.2 | |
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design | 18 | |
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grunge | 17 | |
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retro | 16.4 | |
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dress | 14.5 | |
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symbol | 13.5 | |
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fashion | 12.8 | |
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man | 12.8 | |
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style | 12.6 | |
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people | 12.3 | |
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black | 12 | |
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elegance | 11.8 | |
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ancient | 11.2 | |
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clip art | 11.1 | |
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frame | 10.8 | |
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paper | 10.2 | |
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adult | 9.7 | |
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detail | 9.7 | |
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pattern | 9.6 | |
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costume | 9.5 | |
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decoration | 9.5 | |
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antique | 9.5 | |
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elegant | 9.4 | |
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decorative | 9.2 | |
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sensuality | 9.1 | |
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portrait | 9.1 | |
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body | 8.8 | |
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hair | 8.7 | |
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artistic | 8.7 | |
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color | 8.3 | |
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silhouette | 8.3 | |
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letter | 8.3 | |
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human | 8.2 | |
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backdrop | 8.2 | |
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paint | 8.1 | |
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religion | 8.1 | |
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creative | 7.9 | |
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bride | 7.9 | |
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face | 7.8 | |
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model | 7.8 | |
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line | 7.7 | |
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sport | 7.4 | |
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graphic | 7.3 | |
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cartoon | 7.1 | |
|
Google
created on 2019-02-19
Text | 88.1 | |
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Fashion | 81.8 | |
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Vintage clothing | 71.7 | |
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Paper product | 70.7 | |
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Costume design | 68.8 | |
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Retro style | 67.1 | |
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Dress | 65.6 | |
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Illustration | 64 | |
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Gentleman | 63.5 | |
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Paper | 62.8 | |
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Art | 58.1 | |
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Pattern | 56.3 | |
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Fashion illustration | 52.2 | |
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Drawing | 51.1 | |
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Pattern | 50.5 | |
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Microsoft
created on 2019-02-19
text | 99.3 | |
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drawing | 99.3 | |
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illustration | 87.5 | |
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sketch | 75.6 | |
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pattern | 70.8 | |
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book | 59.2 | |
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museum | 55.8 | |
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needlework | 45.4 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-24 |
Gender | Female, 98.7% |
Surprised | 95% |
Happy | 10.3% |
Angry | 9.4% |
Fear | 8.1% |
Sad | 3.5% |
Disgusted | 3% |
Calm | 1.9% |
Confused | 1.1% |
Feature analysis
Text analysis
Amazon
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par
femme
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rencontre
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raison
Par
la
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matiere
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bien
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bizarve!
dire
Cavarm
FEMMES.
bas
En matiere de sentiment.
Tu avais bien raison ma femme c estbien plus joh paric que par la bas
Mosien Gustave !. ah bien on peut dire que voilà une rencontre bizarve!
Serie
2° Serie
une
tiens
2°
on peut
sentiment.
Mosien
Banger
joh
c estbien
&
1740
paric
Cara Banger & de Crosstant 10
Cara
14/15 1740
Gustave !.
14/15
lay
lay & IS
291
Crosstant 10
IS
FOURBERIES DE FEMMES
En matiere de sentiment
2 Serie
Par Cavar
T'n avals bien raison ma femme cestbien plus jolh parc que par h bas
tiens Mosten Gustave ah bien onpeut dire que voili ume rencontre bizarre
FOURBERIES
DE
FEMMES
En
matiere
de
sentiment
2
Serie
Par
Cavar
T'n
avals
bien
raison
ma
femme
cestbien
plus
jolh
parc
que
par
h
bas
tiens
Mosten
Gustave
ah
onpeut
dire
voili
ume
rencontre
bizarre