Machine Generated Data
Tags
Amazon
created on 2019-06-04
Person | 99.5 | |
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Human | 99.5 | |
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Person | 99.4 | |
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Person | 99.4 | |
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Person | 99.3 | |
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Person | 98.8 | |
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Person | 93.9 | |
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Person | 89.9 | |
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Person | 87.6 | |
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Person | 84.2 | |
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Person | 83.3 | |
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Clothing | 82.9 | |
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Apparel | 82.9 | |
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Nature | 82 | |
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Person | 80.1 | |
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Person | 79.3 | |
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Outdoors | 76.1 | |
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Person | 70.7 | |
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Advertisement | 70.3 | |
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Wood | 69.5 | |
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Building | 68.8 | |
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People | 68.7 | |
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Poster | 67.6 | |
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Housing | 66.2 | |
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Soil | 63.1 | |
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Water | 56.1 | |
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Ocean | 56.1 | |
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Sea | 56.1 | |
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Plywood | 55.6 | |
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Brochure | 55.4 | |
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Flyer | 55.4 | |
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Paper | 55.4 | |
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Person | 51.8 | |
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Clarifai
created on 2019-06-04
Imagga
created on 2019-06-04
web site | 53.9 | |
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sewage system | 33.5 | |
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facility | 28.4 | |
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house | 23.4 | |
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room | 20.8 | |
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grunge | 19.6 | |
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home | 18.3 | |
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vintage | 18.2 | |
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old | 17.4 | |
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interior | 16.8 | |
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design | 16.3 | |
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structure | 14.3 | |
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architecture | 14 | |
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window | 13.5 | |
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retro | 13.1 | |
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insulating material | 12.6 | |
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modern | 12.6 | |
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antique | 12.5 | |
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dirty | 11.7 | |
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business | 11.5 | |
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travel | 11.3 | |
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building | 11.2 | |
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texture | 11.1 | |
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furniture | 11 | |
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elegance | 10.9 | |
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frame | 10.8 | |
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city | 10.8 | |
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silhouette | 10.8 | |
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memorial | 10.6 | |
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urban | 10.5 | |
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wall | 10.5 | |
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luxury | 10.3 | |
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pattern | 10.2 | |
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table | 10.1 | |
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history | 9.8 | |
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art | 9.7 | |
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drawing | 9.7 | |
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residential | 9.6 | |
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building material | 9.5 | |
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paper | 9.4 | |
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light | 9.4 | |
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inside | 9.2 | |
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paint | 9 | |
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transportation | 9 | |
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chair | 8.9 | |
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style | 8.9 | |
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gravestone | 8.8 | |
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decoration | 8.8 | |
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graphic | 8.7 | |
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symbol | 8.7 | |
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ancient | 8.6 | |
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skyline | 8.5 | |
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grungy | 8.5 | |
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black | 8.4 | |
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floor | 8.4 | |
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wood | 8.3 | |
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sky | 8.3 | |
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people | 7.8 | |
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mine | 7.8 | |
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scene | 7.8 | |
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space | 7.8 | |
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estate | 7.6 | |
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cityscape | 7.6 | |
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tourism | 7.4 | |
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transport | 7.3 | |
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new | 7.3 | |
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color | 7.2 | |
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kitchen | 7.2 | |
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stone | 7.1 | |
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indoors | 7 | |
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Google
created on 2019-06-04
Photograph | 97.6 | |
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Text | 90.8 | |
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Snapshot | 87.5 | |
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Adaptation | 81.9 | |
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Room | 79.1 | |
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Photography | 70.6 | |
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History | 69.9 | |
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Stock photography | 69.2 | |
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Photographic paper | 63.3 | |
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House | 63.1 | |
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Photograph album | 61.9 | |
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Collection | 59.7 | |
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Paper product | 55.7 | |
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Family | 51 | |
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Art | 50.2 | |
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Microsoft
created on 2019-06-04
indoor | 91.8 | |
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room | 51.9 | |
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businesscard | 28.2 | |
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several | 14.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 45-66 |
Gender | Female, 50.1% |
Confused | 49.6% |
Surprised | 49.5% |
Calm | 49.6% |
Angry | 49.7% |
Disgusted | 49.6% |
Happy | 49.6% |
Sad | 49.9% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 50.3% |
Disgusted | 50.3% |
Happy | 49.5% |
Confused | 49.5% |
Sad | 49.6% |
Angry | 49.5% |
Surprised | 49.5% |
Calm | 49.5% |

AWS Rekognition
Age | 17-27 |
Gender | Female, 50.5% |
Sad | 49.7% |
Disgusted | 49.5% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.5% |
Calm | 50% |
Confused | 49.7% |

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.1% |
Happy | 49.6% |
Sad | 49.6% |
Calm | 49.7% |
Confused | 49.6% |
Angry | 49.6% |
Disgusted | 49.8% |
Surprised | 49.6% |
Feature analysis
Categories
Imagga
text visuals | 78.9% | |
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paintings art | 12.9% | |
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interior objects | 6% | |
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food drinks | 1% | |
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Captions
Microsoft
created on 2019-06-04
a group of people in a room | 46.1% | |
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Text analysis
Amazon

Work

Families

for

of

the

Emplovees

and

Welfare

Welfare and Edncational Work for the Families of Emplovees

Edncational

in

Boy

model

Gardenine

Boy learning the ars of Gardenine

learning

domeesie

in domeesie acienge the or the model

ars

or

acienge

Dhstis

Welfare and Educational Work for the Families of Employees
Boya learning the art of gardening at the nodel home,
the kitohen of the nodel
aoseatie aeience
home Cor

Welfare

and

Educational

Work

for

the

Families

of

Employees

learning

art

at

kitohen

aeience

Boya

gardening

nodel

home,

aoseatie

home

Cor