Machine Generated Data
Tags
Amazon
created on 2022-01-23
Clothing | 98.2 | |
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Apparel | 98.2 | |
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Person | 97.6 | |
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Human | 97.6 | |
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Text | 86.5 | |
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Sleeve | 78.5 | |
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Long Sleeve | 66.5 | |
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Door | 66.3 | |
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Coat | 64.7 | |
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Floor | 64.3 | |
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Suit | 61.7 | |
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Overcoat | 61.7 | |
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Advertisement | 59.8 | |
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Face | 57.6 | |
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Photography | 57.5 | |
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Photo | 57.5 | |
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Paper | 57.1 | |
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Blackboard | 57 | |
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Flooring | 56.1 | |
|
Clarifai
created on 2023-10-26
Imagga
created on 2022-01-23
architecture | 33.8 | |
| ||
statue | 33 | |
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building | 30 | |
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column | 28.6 | |
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travel | 19 | |
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old | 18.8 | |
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door | 18.5 | |
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city | 18.3 | |
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wall | 18.1 | |
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monument | 17.7 | |
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tourism | 17.3 | |
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sculpture | 16.2 | |
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house | 16 | |
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structure | 15.9 | |
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stone | 15.5 | |
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historical | 15.1 | |
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landmark | 14.4 | |
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religion | 14.3 | |
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window | 14.1 | |
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ancient | 13.8 | |
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history | 13.4 | |
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tourist | 13.2 | |
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newspaper | 13.2 | |
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art | 12.7 | |
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entrance | 12.6 | |
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church | 12 | |
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marble | 11.4 | |
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urban | 11.4 | |
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culture | 11.1 | |
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exterior | 11.1 | |
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groom | 10.9 | |
| ||
brick | 10.5 | |
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product | 10.4 | |
| ||
university | 10.3 | |
| ||
business | 10.3 | |
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famous | 10.2 | |
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historic | 10.1 | |
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arch | 9.9 | |
| ||
shop | 9.7 | |
| ||
creation | 9.3 | |
| ||
street | 9.2 | |
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palace | 8.9 | |
| ||
crutch | 8.8 | |
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empty | 8.6 | |
| ||
design | 8.4 | |
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sign | 8.3 | |
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dress | 8.1 | |
| ||
man | 8.1 | |
| ||
daily | 7.9 | |
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staff | 7.9 | |
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black | 7.8 | |
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antique | 7.8 | |
| ||
closed | 7.7 | |
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construction | 7.7 | |
| ||
facade | 7.3 | |
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male | 7.1 | |
|
Google
created on 2022-01-23
Black | 89.6 | |
| ||
Sleeve | 87.2 | |
| ||
Standing | 86.4 | |
| ||
Black-and-white | 83.8 | |
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Line | 82.1 | |
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Gesture | 74.5 | |
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Monochrome photography | 74.1 | |
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Rectangle | 73.1 | |
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Font | 72.9 | |
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Monochrome | 71.8 | |
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Stock photography | 65.4 | |
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Room | 61.4 | |
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Art | 60.5 | |
| ||
Street fashion | 58.4 | |
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Advertising | 54.4 | |
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Vintage clothing | 50.7 | |
| ||
Paper product | 50.1 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 25-35 |
Gender | Female, 96.9% |
Happy | 41.1% |
Disgusted | 25% |
Sad | 16.4% |
Calm | 7.9% |
Confused | 5.8% |
Fear | 2.2% |
Surprised | 0.8% |
Angry | 0.7% |
Feature analysis
Amazon
Person | 97.6% | |
|
Text analysis
Amazon
TRADE
ATTENTION!
ARMY
STATES
UNITED STATES ARMY
THE
YOUR
ENLIST IN THE
IN
ENLIST
IT
CAREER
MAKE IT YOUR CAREER
LEARN
UNITED
MAKE
SEE
LEARN A TRADE
SEE YOUR NEAREST POSTMASTER
NEAREST
THE REQUIREMENTS
A
POSTMASTER
REQUIREMENTS
OF
STATION
13732.
IDE
UNTER
IDE NATURAL
CA
CA PURSIN © UNTER HIMI
NATURAL
.
HIMI
©
PURSIN
all
AAMT
ATTENTION!
ENLIST IN THE
UNITED STATES ARMY
MAKE IT YOUR CAREER
OR
LEARN A TRADE
THE REQUIREMENTS
SEE YOUR NEAREST POSTMASTER
CAL NE
N RECN S
13732.
AAMT
ATTENTION!
ENLIST
IN
THE
UNITED
STATES
ARMY
MAKE
IT
YOUR
CAREER
OR
LEARN
A
TRADE
REQUIREMENTS
SEE
NEAREST
POSTMASTER
CAL
NE
N
RECN
S
13732.