Machine Generated Data
Tags
Amazon
created on 2019-06-05
Human | 98.9 | |
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Person | 98.9 | |
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Person | 98.8 | |
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Clinic | 98.6 | |
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Furniture | 98.3 | |
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Chair | 98.3 | |
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Person | 97.9 | |
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Person | 97.5 | |
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Person | 97.2 | |
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Person | 95.3 | |
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Crowd | 90.6 | |
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Chair | 90.3 | |
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Indoors | 88.4 | |
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Room | 88.4 | |
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Chair | 88.4 | |
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Hospital | 83.7 | |
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Operating Theatre | 82.3 | |
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Person | 79.5 | |
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Building | 76.8 | |
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People | 76 | |
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Person | 74.1 | |
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Person | 72.8 | |
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Military | 68.2 | |
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Factory | 67.3 | |
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Doctor | 64.8 | |
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Military Uniform | 59.8 | |
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Workshop | 59.3 | |
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Armored | 57.9 | |
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Army | 57.9 | |
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Chair | 57.1 | |
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Surgery | 56 | |
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Jury | 55.7 | |
|
Clarifai
created on 2019-06-05
Imagga
created on 2019-06-05
shop | 47.4 | |
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shoe shop | 35.1 | |
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mercantile establishment | 30.3 | |
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place of business | 19.8 | |
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room | 18.9 | |
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interior | 18.5 | |
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wagon | 16.2 | |
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house | 15.9 | |
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window | 15.2 | |
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old | 14.6 | |
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building | 13.4 | |
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people | 13.4 | |
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home | 12.7 | |
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wheeled vehicle | 12.7 | |
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business | 12.1 | |
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grunge | 11.9 | |
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architecture | 11.7 | |
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buy | 11.3 | |
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clothing | 11 | |
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man | 10.7 | |
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vintage | 10.7 | |
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chair | 10.4 | |
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table | 10.4 | |
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art | 10.3 | |
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design | 10.1 | |
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light | 10 | |
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city | 10 | |
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hall | 9.7 | |
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style | 9.6 | |
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antique | 9.6 | |
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urban | 9.6 | |
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life | 9.5 | |
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structure | 9.4 | |
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wall | 9.4 | |
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establishment | 9.3 | |
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elegance | 9.2 | |
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travel | 9.1 | |
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retro | 9 | |
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history | 8.9 | |
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indoors | 8.8 | |
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container | 8.7 | |
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crowd | 8.6 | |
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male | 8.5 | |
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modern | 8.4 | |
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shopping | 8.2 | |
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dirty | 8.1 | |
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activity | 8.1 | |
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decoration | 8 | |
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space | 7.7 | |
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men | 7.7 | |
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luxury | 7.7 | |
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classroom | 7.7 | |
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texture | 7.6 | |
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fashion | 7.5 | |
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human | 7.5 | |
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office | 7.5 | |
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tourism | 7.4 | |
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inside | 7.3 | |
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indoor | 7.3 | |
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group | 7.2 | |
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paint | 7.2 | |
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adult | 7.2 | |
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station | 7.2 | |
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transportation | 7.2 | |
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women | 7.1 | |
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decor | 7.1 | |
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vehicle | 7.1 | |
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paper | 7 | |
|
Google
created on 2019-06-05
Photograph | 96.8 | |
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Snapshot | 88.4 | |
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Text | 88.1 | |
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Room | 74.4 | |
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Photography | 70.6 | |
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Adaptation | 67 | |
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History | 66.1 | |
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Stock photography | 64 | |
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Art | 62.5 | |
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Collection | 57.1 | |
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Black-and-white | 56.4 | |
|
Color Analysis
Face analysis
Amazon
AWS Rekognition
Age | 16-27 |
Gender | Female, 50% |
Happy | 49.8% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.5% |
Sad | 49.8% |
Calm | 49.6% |
Surprised | 49.6% |
AWS Rekognition
Age | 35-52 |
Gender | Female, 50.2% |
Sad | 49.6% |
Disgusted | 49.6% |
Confused | 49.6% |
Surprised | 49.6% |
Calm | 49.6% |
Happy | 49.7% |
Angry | 50% |
Feature analysis
Text analysis
Amazon
Sonth
Chicago,
Sonth Parks, Chicago, Ill.
Parks,
Ill.
Lilerary
Branch.
Sa agai
Branch. Lilerary Rene
Rene
South Parks,, Chicago, Ill.
Pes
Tee 1wBepce Co
Branch of he Publie Lirary and Readng Room
A Restaurant
South
Parks,,
Chicago,
Ill.
Pes
Tee
1wBepce
Co
Branch
of
he
Publie
Lirary
and
Readng
Room
A
Restaurant