Human Generated Data

Title

Untitled (three photographs: overhead view of wedding reception table with bride and groom in center; bride throwing bouquet to women at wedding reception; overhead view of wedding reception tables and serving line)

Date

1961, printed later

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Human Generated Data

Title

Untitled (three photographs: overhead view of wedding reception table with bride and groom in center; bride throwing bouquet to women at wedding reception; overhead view of wedding reception tables and serving line)

People

Artist: Martin Schweig, American 20th century

Date

1961, printed later

Classification

Photographs

Machine Generated Data

Tags

Amazon

Interior Design 99.7
Indoors 99.7
Human 96
Person 96
Collage 94.8
Advertisement 94.8
Person 94.3
Person 88.2
Person 86
Person 83.2
Person 73.9
Person 73.1
Person 71.5
Person 67.4
People 65.2
Crowd 65.1
Leisure Activities 65.1
Person 64.1
Person 63.5
Person 60.8
Room 60
Electronics 58.8
Screen 58.8
Display 57.8
Monitor 57.8
Person 57.3
Performer 56.6
Theater 56.2
Person 55.8
Poster 52.9

Clarifai

people 99.8
group 98.9
many 98.3
adult 97.5
man 95.9
vehicle 93.7
woman 93.3
group together 91.5
wear 90
outfit 85.8
music 84.3
transportation system 82.7
one 82.5
street 80.4
leader 78.3
city 78.3
war 76.1
travel 74.8
home 74.1
furniture 73.4

Imagga

comic book 34
grunge 18.7
art 18.2
black 18.2
old 15.3
decoration 14.8
design 14.6
window 14
print media 13.6
shop 13.2
graffito 13
symbol 12.8
graphic 12.4
man 12.1
silhouette 11.6
letter 11
paint 10.9
religion 10.8
vintage 10.7
billboard 10.7
people 10
text 9.6
house 9.2
business 9.1
dirty 9
sign 9
retro 9
style 8.9
pattern 8.9
circa 8.9
person 8.8
urban 8.7
film 8.7
victory 8.7
cemetery 8.7
signboard 8.7
wall 8.5
card 8.5
mercantile establishment 8.3
stall 8.2
structure 8.2
aged 8.1
shoe shop 8.1
financial 8
drawing 8
envelope 8
glass 7.9
postmark 7.9
printed 7.9
postage 7.9
male 7.8
stamp 7.7
mail 7.7
finance 7.6
poster 7.5
frame 7.5
church 7.4
salon 7.2
colorful 7.2
night 7.1

Microsoft

Face analysis

Amazon

AWS Rekognition

Age 13-25
Gender Female, 50.1%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Confused 49.5%
Fear 49.6%
Calm 50.1%
Happy 49.6%
Sad 49.7%

AWS Rekognition

Age 19-31
Gender Female, 50.3%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Sad 50.4%
Surprised 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50.5%
Angry 49.5%
Surprised 49.5%
Sad 49.7%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Fear 50.2%

AWS Rekognition

Age 24-38
Gender Male, 50.1%
Sad 49.9%
Disgusted 49.5%
Fear 49.8%
Angry 49.7%
Happy 49.5%
Surprised 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 21-33
Gender Female, 50%
Fear 49.9%
Happy 49.6%
Angry 49.5%
Disgusted 49.5%
Sad 49.9%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 17-29
Gender Female, 53.8%
Happy 47.6%
Fear 45.6%
Sad 45.4%
Confused 46.1%
Disgusted 45.1%
Surprised 45.7%
Calm 48.7%
Angry 45.8%

AWS Rekognition

Age 22-34
Gender Male, 50.2%
Happy 49.5%
Angry 49.6%
Disgusted 49.9%
Confused 49.5%
Sad 49.5%
Calm 50%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 16-28
Gender Male, 50.1%
Happy 49.7%
Angry 49.5%
Disgusted 49.5%
Surprised 49.8%
Sad 49.5%
Fear 49.7%
Calm 49.5%
Confused 49.7%

AWS Rekognition

Age 30-46
Gender Female, 50%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Fear 49.8%
Calm 49.5%
Sad 50.1%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 34-50
Gender Female, 50.3%
Fear 49.8%
Surprised 49.9%
Angry 49.5%
Calm 49.5%
Sad 49.5%
Happy 49.7%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.4%
Surprised 49.5%
Angry 49.6%
Sad 49.5%
Fear 49.5%
Disgusted 50%
Happy 49.7%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 31-47
Gender Female, 50%
Fear 49.7%
Angry 49.7%
Sad 49.6%
Happy 49.6%
Calm 49.8%
Confused 49.6%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 5-15
Gender Male, 50.3%
Happy 49.6%
Confused 49.6%
Calm 49.5%
Fear 49.8%
Angry 49.6%
Sad 49.6%
Surprised 49.9%
Disgusted 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50%
Disgusted 49.5%
Fear 49.5%
Surprised 49.7%
Angry 49.5%
Calm 50.1%
Happy 49.5%
Confused 49.5%
Sad 49.6%

AWS Rekognition

Age 35-51
Gender Male, 50.4%
Fear 49.6%
Angry 49.7%
Calm 49.6%
Surprised 49.5%
Happy 49.6%
Confused 49.5%
Sad 49.9%
Disgusted 49.5%

AWS Rekognition

Age 8-18
Gender Male, 50.3%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Calm 50%
Angry 49.7%
Fear 49.6%
Surprised 49.6%
Happy 49.5%

AWS Rekognition

Age 6-16
Gender Male, 50.5%
Calm 49.7%
Fear 49.8%
Angry 49.5%
Disgusted 49.5%
Sad 49.8%
Happy 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 19-31
Gender Male, 50.3%
Fear 49.7%
Calm 49.5%
Happy 49.5%
Surprised 49.9%
Angry 49.5%
Sad 49.5%
Disgusted 49.6%
Confused 49.7%

AWS Rekognition

Age 4-14
Gender Male, 50.2%
Happy 49.5%
Calm 50%
Fear 49.5%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.8%

AWS Rekognition

Age 25-39
Gender Male, 50.3%
Surprised 49.6%
Fear 49.6%
Disgusted 49.5%
Calm 49.9%
Angry 49.5%
Confused 49.5%
Happy 49.7%
Sad 49.7%

AWS Rekognition

Age 27-43
Gender Female, 50%
Confused 50.1%
Surprised 49.5%
Calm 49.5%
Fear 49.5%
Disgusted 49.5%
Happy 49.5%
Sad 49.7%
Angry 49.5%

AWS Rekognition

Age 18-30
Gender Male, 50.1%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Calm 50.1%
Sad 49.7%
Surprised 49.7%
Confused 49.5%

AWS Rekognition

Age 17-29
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Fear 49.6%
Calm 49.9%
Happy 49.5%
Surprised 49.9%
Angry 49.6%
Sad 49.5%

AWS Rekognition

Age 47-65
Gender Female, 50.1%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Fear 49.5%
Sad 49.6%
Angry 50.2%
Surprised 49.5%

AWS Rekognition

Age 7-17
Gender Male, 50.1%
Fear 49.5%
Confused 49.5%
Calm 49.7%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

Feature analysis

Amazon

Person 96%
Poster 52.9%

Captions

Microsoft

a black and white photo of a crowd 69.8%
a group of people posing for a photo in front of a crowd 37.7%
a black and white photo of a person 37.6%

Text analysis

Amazon

ODK--Z.EIA--LIRW
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Google

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