Machine Generated Data
Tags
Amazon
created on 2022-01-22
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-22
man | 25.6 | |
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black | 22 | |
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silhouette | 20.7 | |
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creation | 20.2 | |
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people | 20.1 | |
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mug shot | 18.7 | |
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art | 18.5 | |
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male | 17.7 | |
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photograph | 16.8 | |
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vintage | 16.5 | |
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background | 15.9 | |
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dance | 15 | |
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screen | 14.9 | |
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old | 13.2 | |
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person | 13 | |
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clothing | 12.7 | |
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representation | 12.6 | |
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retro | 12.3 | |
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office | 12 | |
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grunge | 11.9 | |
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garment | 11.1 | |
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device | 11 | |
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postmark | 10.8 | |
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stamp | 10.6 | |
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product | 10.6 | |
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10.5 | ||
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boy | 10.4 | |
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portrait | 10.3 | |
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web site | 10.2 | |
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kimono | 10.2 | |
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symbol | 10.1 | |
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letter | 10.1 | |
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postage | 9.8 | |
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postal | 9.8 | |
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business | 9.7 | |
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post | 9.5 | |
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support | 9.5 | |
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men | 9.4 | |
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robe | 9.1 | |
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fashion | 9 | |
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display | 9 | |
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sexy | 8.8 | |
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businessman | 8.8 | |
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envelope | 8.8 | |
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silhouettes | 8.7 | |
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bookend | 8.7 | |
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women | 8.7 | |
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light | 8.7 | |
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newspaper | 8.7 | |
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party | 8.6 | |
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alone | 8.2 | |
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one | 8.2 | |
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happy | 8.1 | |
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body | 8 | |
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design | 7.9 | |
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reflection | 7.8 | |
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adult | 7.8 | |
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face | 7.8 | |
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model | 7.8 | |
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play | 7.8 | |
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modern | 7.7 | |
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mine | 7.7 | |
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sport | 7.6 | |
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global | 7.3 | |
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group | 7.2 | |
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active | 7.2 | |
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team | 7.2 | |
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hair | 7.1 | |
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worker | 7.1 | |
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posing | 7.1 | |
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Google
created on 2022-01-22
Sleeve | 87.2 | |
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Style | 83.8 | |
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Tints and shades | 76.8 | |
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Vintage clothing | 71.9 | |
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Pattern | 71.9 | |
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Fashion design | 71.4 | |
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Art | 70.9 | |
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Monochrome photography | 69.9 | |
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Monochrome | 67.7 | |
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Chair | 66.3 | |
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Formal wear | 65.1 | |
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Room | 65 | |
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Visual arts | 63 | |
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Classic | 62.5 | |
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History | 60.6 | |
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Font | 56.3 | |
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Rectangle | 54.8 | |
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Retro style | 53.7 | |
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Pattern | 50.7 | |
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Microsoft
created on 2022-01-22
text | 99.7 | |
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clothing | 96.1 | |
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person | 89.8 | |
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gallery | 77.7 | |
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footwear | 74.6 | |
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posing | 73 | |
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black and white | 53.2 | |
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man | 51.8 | |
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fashion | 51.7 | |
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picture frame | 14 | |
|
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 23-33 |
Gender | Male, 99.7% |
Calm | 94.4% |
Happy | 1.8% |
Disgusted | 0.9% |
Sad | 0.8% |
Angry | 0.6% |
Confused | 0.5% |
Fear | 0.5% |
Surprised | 0.5% |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.4% | |
|
Text analysis
Amazon
English
Leather
michael
72
1978
michael Mattone 72
from
English Leather lombon 1978 from Dayk HIGH
HIGH
Mattone
He
lombon
CONO
Dolds
Dayk
Doke
CAVER
Englis teather londyn 197 fiou D* HOH.
Michaig Morkone 12
Englis
teather
197
HOH.
12
londyn
fiou
D*
Michaig
Morkone