Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clarifai
created on 2023-10-26
monochrome | 99.3 | |
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people | 98.7 | |
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indoors | 97.6 | |
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adult | 97.2 | |
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furniture | 96.8 | |
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desk | 96.1 | |
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room | 94 | |
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chair | 91.1 | |
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sit | 88.2 | |
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man | 88.2 | |
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woman | 87.7 | |
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shelf | 85.7 | |
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horizontal | 85.7 | |
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technology | 82.2 | |
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table | 81 | |
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communication | 75.2 | |
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bookcase | 75.1 | |
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newspaper | 74.9 | |
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vertical | 73.9 | |
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leader | 71 | |
|
Imagga
created on 2022-01-23
design | 29.8 | |
| ||
modern | 20.3 | |
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frame | 20.1 | |
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art | 19.7 | |
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business | 18.8 | |
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paper | 17.3 | |
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interior | 16.8 | |
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facility | 16.6 | |
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grunge | 15.3 | |
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graphic | 15.3 | |
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house | 15 | |
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architecture | 14.8 | |
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home | 14.6 | |
| ||
plan | 14.2 | |
| ||
technology | 14.1 | |
| ||
creation | 13.8 | |
| ||
drawing | 13.7 | |
| ||
office | 13.2 | |
| ||
new | 13 | |
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blank | 12 | |
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template | 11.9 | |
| ||
set | 11.9 | |
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furniture | 11.9 | |
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old | 11.8 | |
| ||
product | 11.7 | |
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element | 11.6 | |
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sketch | 11.5 | |
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black | 11.4 | |
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room | 11.1 | |
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style | 11.1 | |
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construction | 11.1 | |
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industry | 10.2 | |
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3d | 10.1 | |
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table | 10 | |
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building | 9.9 | |
| ||
retro | 9.8 | |
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world | 9.7 | |
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texture | 9.7 | |
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digital | 9.7 | |
| ||
icon | 9.5 | |
| ||
glass | 9.3 | |
| ||
mine | 9.2 | |
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station | 9.1 | |
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vintage | 9.1 | |
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structure | 9 | |
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pattern | 8.9 | |
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card | 8.8 | |
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newspaper | 8.6 | |
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case | 8.6 | |
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window | 8.6 | |
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line | 8.6 | |
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stall | 8.5 | |
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equipment | 8.4 | |
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clean | 8.4 | |
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document | 8.4 | |
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city | 8.3 | |
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sign | 8.3 | |
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bank | 8.2 | |
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data | 8.2 | |
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police station | 8.1 | |
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symbol | 8.1 | |
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computer | 8 | |
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project | 7.7 | |
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apartment | 7.7 | |
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web | 7.6 | |
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silhouette | 7.4 | |
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page | 7.4 | |
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excavation | 7.4 | |
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letter | 7.3 | |
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global | 7.3 | |
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collection | 7.2 | |
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currency | 7.2 | |
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information | 7.1 | |
| ||
insulating material | 7 | |
|
Google
created on 2022-01-23
Black-and-white | 82.2 | |
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Shelving | 81.6 | |
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Building | 80.6 | |
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Display case | 78.8 | |
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Retail | 73.9 | |
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Monochrome | 72.3 | |
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Font | 72.1 | |
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Monochrome photography | 71.9 | |
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Machine | 71.8 | |
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Rectangle | 64.3 | |
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Room | 62.6 | |
| ||
Advertising | 61 | |
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Shelf | 61 | |
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Collection | 55.4 | |
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Illustration | 54.3 | |
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Food | 52.6 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 18-26 |
Gender | Female, 69.6% |
Calm | 91.9% |
Fear | 2.3% |
Sad | 2% |
Surprised | 1.6% |
Happy | 0.8% |
Confused | 0.7% |
Angry | 0.5% |
Disgusted | 0.3% |
Feature analysis
Amazon
Person | 96.8% | |
|
Text analysis
Amazon
Years
Coke
Have
Years Younger
TEXT
To
LOPING
THE
OCTOBER
Younger
AND TEXT
ND
YOUTH
SECRETS
October
AND
PICTURES
Coron
READ
CLARK
PAGES
OF PICTURES
CORONET
COUNTRY
OF
VOG
SECRETS OF
PHILIP
Motion
MACKINLAY
STOUT
ART
own
GUIDE
MORRIS
BOY
"How
MACKINLAY KANTOR
Real
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Coca-Cola
KANTOR
TOWN&
11
Screen
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Story
SCOUT
PATTER BO Screen
VOG S M'Call
25 PAGES
"How To Look,
Badges
- - -
Have a Coke
PENNEY CO.
BUSIERS GUIDE
J.C PENNEY CO.
STOUT LEARS
J.C
25
PATTER
Motion PM
PHILIP LITE MORRIS
BOY SCOUT EDUARMONT
Merit Badges -
True
Coronet
M'Call
Clask
ORINA
Merit
BUSIERS
Look,
LEARS
Cocinet
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Out
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PM
there BY YOUTH
a
Cocinet Copyright
there
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The
BY
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COCAKY
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LITE
ND
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THE
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BERS GUDE
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ART
OF PICTURES
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PHILIP MORRIS
Coca-Cola
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own
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26848SA. STEINMETZ, SARASOTA, FLORIDA 2 6945A.
ND
THE
OF
GUDE
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ART
AND
TEXT
PHILIP
Coca-Cola
Have
own
COEDnet
CORONE
KANTOR
bi
edide
Merit
OCTOBER
OY
SOut
EDUINT
AC
PENNEY
CO
17TOWNACOUNTRY
Sa
NAB
26848SA.
SARASOTA,
FLORIDA
6945A.
LOPING
SECRETS
BERS
YOUTH
How
To
Look
Coron
PICTURES
October
MORRIS
a
Coke
Sata
MACKINLAY
READ
Badges
CORONET
A
OG
BATTEBO
Screen:
The
lorida
STEINMETZ,
2