Machine Generated Data
Tags
Amazon
created on 2023-10-06
Advertisement | 100 | |
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Car | 96.1 | |
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Transportation | 96.1 | |
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Vehicle | 96.1 | |
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Baby | 94.9 | |
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Person | 94.9 | |
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Machine | 94.9 | |
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Wheel | 94.9 | |
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Person | 90.7 | |
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Architecture | 89.9 | |
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Building | 89.9 | |
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Person | 89.3 | |
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Book | 88.8 | |
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Comics | 88.8 | |
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Publication | 88.8 | |
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Poster | 88.3 | |
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Wheel | 86.6 | |
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Car | 84.4 | |
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Person | 81.1 | |
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Adult | 81.1 | |
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Male | 81.1 | |
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Man | 81.1 | |
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Wheel | 80.4 | |
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Face | 79.7 | |
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Head | 79.7 | |
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Person | 79.6 | |
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Neighborhood | 78.7 | |
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Wheel | 78.2 | |
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Wheel | 78 | |
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Person | 77.9 | |
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Bicycle | 73.3 | |
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Wheel | 72.9 | |
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Wheel | 68.4 | |
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Art | 67.8 | |
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Painting | 67.8 | |
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Outdoors | 67.3 | |
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City | 65.1 | |
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Text | 65 | |
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Collage | 56.6 | |
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Urban | 56.1 | |
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Road | 55.1 | |
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Street | 55.1 | |
|
Clarifai
created on 2018-05-10
Imagga
created on 2023-10-06
billboard | 90.1 | |
| ||
signboard | 71.6 | |
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structure | 69 | |
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building | 44.3 | |
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architecture | 33.2 | |
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shop | 28.1 | |
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house | 26.8 | |
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window | 26.5 | |
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old | 23.7 | |
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exterior | 22.1 | |
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mercantile establishment | 20.9 | |
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wall | 20 | |
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barbershop | 19.8 | |
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door | 19 | |
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city | 16.6 | |
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graffito | 16.6 | |
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sky | 16.6 | |
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home | 16 | |
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facade | 15.3 | |
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urban | 14 | |
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roof | 13.9 | |
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place of business | 13.9 | |
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ancient | 13.9 | |
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stone | 13.6 | |
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windows | 13.5 | |
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brick | 13.4 | |
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construction | 12.8 | |
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travel | 12 | |
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street | 12 | |
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decoration | 11.9 | |
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historic | 11 | |
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history | 10.7 | |
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tourism | 10.7 | |
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trees | 10.7 | |
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buildings | 10.4 | |
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town | 10.2 | |
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glass | 10.1 | |
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aged | 10 | |
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vintage | 9.9 | |
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sign | 9.8 | |
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rural | 9.7 | |
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snow | 9.7 | |
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wooden | 9.7 | |
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village | 9.6 | |
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residential | 9.6 | |
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grunge | 9.4 | |
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balcony | 9.3 | |
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wood | 9.2 | |
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tower | 9 | |
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cold | 8.6 | |
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winter | 8.5 | |
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garage | 8.4 | |
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outdoors | 8.2 | |
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dirty | 8.1 | |
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religion | 8.1 | |
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forest | 7.8 | |
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empty | 7.7 | |
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outdoor | 7.7 | |
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lamp | 7.6 | |
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perspective | 7.5 | |
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frame | 7.5 | |
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church | 7.4 | |
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black | 7.2 | |
|
Google
created on 2018-05-10
photograph | 95 | |
| ||
black and white | 87 | |
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house | 70.3 | |
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history | 67.7 | |
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picture frame | 64.5 | |
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monochrome photography | 62.8 | |
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monochrome | 54.7 | |
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facade | 53.6 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 64.7% |
Sad | 91.9% |
Happy | 12.5% |
Calm | 12.4% |
Fear | 10.8% |
Surprised | 10.7% |
Disgusted | 5.8% |
Angry | 5.5% |
Confused | 3.4% |

AWS Rekognition
Age | 16-22 |
Gender | Female, 55.1% |
Calm | 57.8% |
Disgusted | 14.1% |
Surprised | 10.7% |
Fear | 7.1% |
Sad | 5.8% |
Angry | 4.1% |
Happy | 3.6% |
Confused | 3.3% |

AWS Rekognition
Age | 11-19 |
Gender | Male, 54.7% |
Sad | 98.8% |
Fear | 16% |
Calm | 9.6% |
Surprised | 7.4% |
Disgusted | 5.9% |
Confused | 4.6% |
Angry | 2.7% |
Happy | 0.8% |
Feature analysis
Amazon
Car
Baby
Person
Wheel
Building
Adult
Male
Man
Bicycle
Categories
Imagga
streetview architecture | 99.4% | |
|
Captions
Microsoft
created on 2018-05-10
a black sign with white text | 68% | |
| ||
a black and white photo of a building | 67.9% | |
| ||
a black sign with white letters | 65.1% | |
|
Text analysis
Amazon

lebih

sepeda

dan

liga

Sesal

asal

berdjadjar

menoleh

RELATION

NEGARA

dialan

PUBLIC

Biar

PUBLIC RELATION POLISI NEGARA

Biar lambat

landa

lambat

POLISI

lebih dahulu

Naik sepeda berdjadjar liga

lidah

berguna

dan masuk

menieberang

Cara menieberang dialan lidah

tak berguna

asal selamat

dahulu

tak

Sesal kemudian

larana

an's

masuk

Cara

selamat

dahuta

kemudian

Naik

hekiri dan hanan mill

hanan

hekiri

pendapal.

AWAY

mill

selamal

dan

masul

larana

ebth

chir

kanan.

lak

PUBLIC RL"LATION POLISI
Naik sepeda berdjadjar liga
ar lambol
0sal selamal
dan masul
larana
nda
Garat nienieberan
lidak
menoleh
ebth dahulu
chir dan kanan.
emudicn
lak berguma

PUBLIC

RL

"

LATION

POLISI

Naik

sepeda

berdjadjar

liga

ar

lambol

0sal

nda

Garat

nienieberan

lidak

menoleh

dahulu

emudicn

berguma