Human Generated Data

Title

Untitled (four photographs: older man and woman walking down wedding aisle; woman entering reception hall with young girl; bride and groom emerging from covered stairs of church; couple and woman holding young girl smiling while entering reception hall)
Date

1951, printed later
People

Artist: Martin Schweig, American 20th century
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6194

Human Generated Data

Title

Untitled (four photographs: older man and woman walking down wedding aisle; woman entering reception hall with young girl; bride and groom emerging from covered stairs of church; couple and woman holding young girl smiling while entering reception hall)

People

Artist: Martin Schweig, American 20th century

Date

1951, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6194

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Person 99.6
Human 99.6
Person 99.5
Person 99.4
Person 98.6
Person 98.5
Person 98.2
Person 98.2
Person 95.3
Person 95
Person 92.7
Advertisement 90.5
Collage 90.5
Poster 90.5
Clothing 85
Apparel 85
Person 81
Indoors 77.5
Person 74.4
Person 74.2
Person 71.1
Person 67.4
Person 65.5
Room 64.8
Person 61.9
Floor 61.7
Leisure Activities 61.5
Overcoat 61
Coat 61
Suit 57.8
Furniture 55.7
Outdoors 55.7
Door 55.6
Person 53.7
Person 49.7
Person 45.4

Clarifai
created on 2019-11-16

people 100
group 99.1
adult 97.9
woman 97.8
group together 97.3
man 97.2
many 97
wear 96.9
street 92.2
room 89.5
dress 84.3
outfit 83.9
indoors 82.1
child 81.6
movie 80.2
music 80.2
boy 79.8
train 76.5
several 75.3
stock 74.7

Imagga
created on 2019-11-16

interior 19.4
television 18.4
room 16.3
window 16
equipment 15.8
old 15.3
business 14.6
house 14.2
city 14.1
architecture 14
urban 14
building 13.6
people 13.4
musical instrument 13.3
light 12.7
transportation 12.5
bass 12.4
black 12.2
chair 11.8
design 11.8
indoors 11.4
device 11.1
furniture 11.1
vehicle 10.8
train 10.5
home 10.4
station 10.2
floor 10.2
inside 10.1
speed 10.1
indoor 10
travel 9.8
modern 9.8
steel 9.7
table 9.5
center 9.5
glass 9.3
wood 9.2
transport 9.1
technology 8.9
working 8.8
men 8.6
dark 8.3
safety 8.3
shop 8.1
brass 8.1
new 8.1
man 8.1
night 8
loudspeaker 7.8
wall 7.8
stringed instrument 7.8
adult 7.8
apartment 7.7
style 7.4
lamp 7.3
metal 7.2
wind instrument 7.1
office 7

Google
created on 2019-11-16

Photograph 97.5
Black-and-white 92
Snapshot 89.6
Photography 82.6
Monochrome photography 80.4
Monochrome 77.2
Room 74.4
Stock photography 59.4
Style 51
Art 50.2

Microsoft
created on 2019-11-16

person 98.7
clothing 98
black and white 96.8
man 84.8
wedding dress 84.7
woman 82.8
dress 82.3
street 81.4
text 79.6
white 71.2
bride 67.9
people 55.6
monochrome 51.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-31
Gender Female, 50.7%
Calm 45.1%
Surprised 45.1%
Happy 52.2%
Sad 46%
Confused 45.1%
Angry 45.8%
Fear 45.4%
Disgusted 45.2%

AWS Rekognition

Age 50-68
Gender Male, 53.8%
Confused 45.1%
Fear 45.1%
Angry 50%
Sad 45.1%
Disgusted 45.1%
Surprised 45.3%
Happy 45.1%
Calm 49.2%

AWS Rekognition

Age 14-26
Gender Male, 54.9%
Calm 52.1%
Sad 45.1%
Fear 45%
Confused 45.1%
Angry 47.4%
Happy 45%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 20-32
Gender Male, 50.5%
Happy 50.3%
Angry 49.5%
Disgusted 49.5%
Sad 49.6%
Surprised 49.5%
Calm 49.5%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 8-18
Gender Female, 50%
Calm 49.7%
Sad 49.6%
Fear 49.6%
Confused 49.6%
Angry 49.9%
Happy 49.5%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 3-11
Gender Male, 50.2%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Sad 50.2%
Surprised 49.5%
Calm 49.7%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 24-38
Gender Female, 50.4%
Sad 49.6%
Fear 49.6%
Angry 49.6%
Surprised 49.7%
Confused 49.6%
Calm 49.6%
Happy 49.8%
Disgusted 49.5%

AWS Rekognition

Age 46-64
Gender Male, 50.4%
Surprised 49.6%
Angry 49.6%
Fear 49.5%
Calm 50.1%
Confused 49.6%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.5%
Disgusted 49.5%
Sad 50.3%
Fear 49.5%
Angry 49.5%
Confused 49.5%
Happy 49.6%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-26
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 49.5%
Fear 50.4%

AWS Rekognition

Age 16-28
Gender Male, 50.5%
Confused 49.5%
Happy 50.3%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Sad 49.6%
Surprised 49.5%
Fear 49.6%

AWS Rekognition

Age 3-9
Gender Female, 50%
Fear 50.2%
Calm 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.7%
Happy 49.5%

AWS Rekognition

Age 2-8
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.5%
Surprised 49.8%
Fear 50.2%
Happy 49.5%
Confused 49.5%
Sad 49.5%
Angry 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.3%
Confused 49.6%
Happy 49.5%
Fear 49.6%
Sad 49.5%
Surprised 49.9%
Angry 49.5%
Disgusted 49.5%
Calm 49.9%

AWS Rekognition

Age 2-8
Gender Male, 50.2%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%
Fear 50.5%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 31-47
Gender Male, 50.1%
Surprised 49.5%
Fear 49.6%
Angry 49.5%
Happy 49.5%
Sad 50.3%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.2%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Angry 50.2%
Calm 49.6%
Surprised 49.5%
Sad 49.6%
Happy 49.5%

AWS Rekognition

Age 36-52
Gender Female, 50%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Sad 49.8%
Happy 49.7%
Surprised 49.5%
Fear 49.8%

AWS Rekognition

Age 31-47
Gender Female, 50.4%
Surprised 49.5%
Sad 50.3%
Confused 49.5%
Calm 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-40
Gender Male, 50.1%
Surprised 49.6%
Disgusted 49.5%
Sad 49.8%
Angry 49.6%
Calm 49.8%
Happy 49.6%
Fear 49.6%
Confused 49.5%

AWS Rekognition

Age 40-58
Gender Female, 50%
Disgusted 49.5%
Fear 49.8%
Confused 49.6%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Sad 50%
Happy 49.5%

AWS Rekognition

Age 47-65
Gender Male, 50.4%
Calm 49.5%
Disgusted 49.6%
Surprised 49.9%
Sad 49.5%
Fear 49.5%
Happy 49.5%
Angry 49.5%
Confused 49.9%

AWS Rekognition

Age 23-35
Gender Male, 50.3%
Angry 49.6%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Sad 49.6%
Confused 49.5%
Calm 50.3%

AWS Rekognition

Age 26-42
Gender Male, 50.4%
Confused 49.5%
Surprised 49.6%
Happy 49.5%
Calm 49.8%
Disgusted 49.5%
Sad 49.5%
Angry 49.9%
Fear 49.5%

AWS Rekognition

Age 18-30
Gender Female, 50%
Happy 49.5%
Calm 49.8%
Disgusted 49.5%
Surprised 49.5%
Fear 49.6%
Sad 49.8%
Confused 49.5%
Angry 49.8%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Sad 50%
Fear 49.6%
Angry 49.5%
Surprised 49.5%
Confused 49.6%
Calm 49.8%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 5-15
Gender Female, 50.2%
Sad 50.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Calm 49.5%

Feature analysis

Amazon

Person 99.6%

Text analysis

Amazon

T33A2-
te2o
MACOM

Google

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