Human Generated Data

Title

Untitled (three photographs: bride and groom smiling from backseat of car as others look in window; father walking bride down aisle; two flower girls walking down aisle)
Date

1947, 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, 4.2002.10251

Human Generated Data

Title

Untitled (three photographs: bride and groom smiling from backseat of car as others look in window; father walking bride down aisle; two flower girls walking down aisle)

People

Artist: Martin Schweig, American 20th century

Date

1947, printed later

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.10251

Machine Generated Data

Tags

Amazon
created on 2019-11-16

Advertisement 100
Collage 100
Poster 100
Apparel 98.1
Clothing 98.1
Human 98
Person 98
Person 96
Person 94
Person 91.6
Person 90.4
Person 86.7
Person 85.9
Person 84.5
Person 81.6
Person 80
Person 79.2
Person 77.8
Coat 77.6
Overcoat 77.6
Suit 77.6
Person 68.8
Person 66.9
Furniture 62.6
Person 59.8
People 58.2
Fashion 57.7
Robe 57.7
Evening Dress 56.6
Gown 56.6
Person 46.6
Person 45.5

Clarifai
created on 2019-11-16

people 99.8
group 99
many 99
wear 98
adult 97.8
woman 96.8
man 95.2
outfit 93.5
group together 92.5
room 89.4
child 87.8
administration 87.4
leader 84.7
vehicle 84
furniture 81.3
dress 79.8
one 79.7
crowd 79.3
indoors 78.9
chair 78.9

Imagga
created on 2019-11-16

robe 53.9
garment 44.3
clothing 39.1
wardrobe 29.9
boutique 29
dress 23.5
fashion 22.6
people 22.3
black 21.4
business 20.6
man 20.1
person 19.6
adult 19.5
clothes 18.7
shop 18.2
furniture 17.8
covering 16.3
lady 16.2
hanger 16
women 15.8
attractive 14.7
consumer goods 14.1
coat hanger 13.9
furnishing 13.8
sexy 13.6
model 12.4
portrait 12.3
shirt 12.1
male 12
happy 10.6
shoes 10.5
pretty 10.5
suit 10.4
body 10.4
lifestyle 10.1
dark 10
team 9.8
businessman 9.7
store 9.4
sale 9.2
shopping 9.2
design 9
one 8.9
shoe shop 8.9
market 8.9
group 8.9
looking 8.8
hair 8.7
work 8.6
corporate 8.6
elegant 8.6
smile 8.5
face 8.5
art 8.4
buy 8.4
elegance 8.4
old 8.3
businesswoman 8.2
style 8.2
success 8
bag 8
job 8
support 7.9
brunette 7.8
outfit 7.8
party 7.7
sitting 7.7
men 7.7
modern 7.7
crowd 7.7
human 7.5
silhouette 7.4
footwear 7.3
indoor 7.3
office 7.2
posing 7.1
interior 7.1
indoors 7

Google
created on 2019-11-16

Photograph 96.8
Photographic paper 87.8
Snapshot 84.5
Photograph album 76.9
Album 76.9
Photography 76.4
Black-and-white 74.4
Picture frame 72.4
Art 72.1
Room 71.4
Collection 61.9
Interior design 52.6

Microsoft
created on 2019-11-16

wedding dress 99
bride 97.6
dress 97
clothing 95.4
woman 92.5
text 87.6
person 87.1
black and white 82.7
man 75.3
wedding 69.4
black 65.4
white 63
suit 62.8
posing 50.5
altar 31
fireplace 24.8

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 30-46
Gender Male, 67.1%
Calm 0.1%
Fear 0%
Confused 0%
Surprised 0.2%
Angry 0.1%
Happy 99.5%
Sad 0%
Disgusted 0%

AWS Rekognition

Age 24-38
Gender Female, 54.9%
Surprised 45%
Happy 54.9%
Sad 45%
Fear 45%
Calm 45%
Confused 45%
Disgusted 45%
Angry 45%

AWS Rekognition

Age 25-39
Gender Male, 50.4%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Angry 50.1%
Disgusted 49.5%
Calm 49.8%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 13-23
Gender Male, 54.7%
Surprised 45.1%
Sad 45.3%
Confused 45.1%
Happy 45.1%
Disgusted 45%
Fear 45%
Angry 45.2%
Calm 54.2%

AWS Rekognition

Age 26-42
Gender Male, 50%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50.2%
Disgusted 49.5%
Sad 49.6%
Angry 49.6%
Fear 49.6%

AWS Rekognition

Age 4-12
Gender Female, 50.2%
Angry 49.5%
Fear 49.5%
Calm 49.9%
Sad 50%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 4-12
Gender Female, 50.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.5%
Calm 49.5%

AWS Rekognition

Age 49-67
Gender Male, 50.4%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Fear 49.5%
Calm 49.7%
Confused 49.5%
Surprised 49.5%
Sad 50.1%

AWS Rekognition

Age 47-65
Gender Male, 50.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 50.3%
Fear 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 36-52
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.5%
Fear 50.2%
Happy 49.5%
Confused 49.5%
Sad 49.8%
Calm 49.5%
Surprised 49.5%

AWS Rekognition

Age 41-59
Gender Male, 50%
Confused 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Calm 49.9%
Sad 49.6%
Fear 49.5%
Angry 50%

AWS Rekognition

Age 22-34
Gender Female, 52.4%
Angry 45.7%
Calm 45.1%
Surprised 45.5%
Confused 45.2%
Disgusted 45.3%
Happy 45.1%
Sad 45.4%
Fear 52.7%

AWS Rekognition

Age 13-23
Gender Female, 50%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Calm 50.1%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Sad 49.7%

AWS Rekognition

Age 4-12
Gender Female, 50.2%
Happy 49.5%
Surprised 49.5%
Fear 49.5%
Calm 50.3%
Angry 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 11-21
Gender Male, 50.4%
Surprised 49.5%
Sad 49.9%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.6%
Angry 49.9%
Calm 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.1%
Disgusted 49.5%
Fear 49.5%
Confused 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 22-34
Gender Female, 50.1%
Happy 49.7%
Sad 49.9%
Disgusted 49.5%
Surprised 49.5%
Fear 49.6%
Angry 49.6%
Confused 49.5%
Calm 49.7%

AWS Rekognition

Age 3-9
Gender Female, 50.2%
Calm 49.6%
Fear 49.6%
Sad 49.9%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.8%

AWS Rekognition

Age 55-73
Gender Male, 50.3%
Angry 49.5%
Sad 49.9%
Calm 49.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Fear 50.1%
Happy 49.5%

AWS Rekognition

Age 17-29
Gender Male, 50.4%
Fear 49.6%
Confused 49.7%
Calm 49.8%
Sad 49.8%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.6%

AWS Rekognition

Age 23-37
Gender Female, 50.1%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Sad 49.5%
Calm 50.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%

AWS Rekognition

Age 3-11
Gender Female, 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.5%
Disgusted 49.5%
Angry 50.4%
Calm 49.5%
Fear 49.5%

AWS Rekognition

Age 13-23
Gender Male, 50.3%
Happy 49.5%
Surprised 49.5%
Fear 50.5%
Calm 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%
Sad 50.4%
Fear 49.5%
Confused 49.5%

AWS Rekognition

Age 6-16
Gender Female, 50.4%
Fear 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 50.3%
Calm 49.6%

AWS Rekognition

Age 22-34
Gender Female, 51%
Sad 49.9%
Disgusted 45.2%
Confused 45.3%
Surprised 45.6%
Happy 47.8%
Fear 45.6%
Angry 45.2%
Calm 45.5%

AWS Rekognition

Age 17-29
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.8%
Happy 49.6%
Calm 49.6%
Sad 49.7%
Surprised 49.5%
Fear 49.7%
Confused 49.6%

AWS Rekognition

Age 27-43
Gender Male, 50.2%
Happy 49.5%
Disgusted 49.6%
Angry 49.5%
Fear 49.5%
Calm 50.3%
Surprised 49.5%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50.2%
Calm 49.7%
Disgusted 49.5%
Surprised 49.6%
Sad 49.6%
Fear 49.6%
Happy 49.6%
Angry 49.7%
Confused 49.6%

AWS Rekognition

Age 21-33
Gender Male, 50.2%
Surprised 49.5%
Angry 49.5%
Sad 49.7%
Fear 50.2%
Disgusted 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 15-27
Gender Female, 50.1%
Surprised 49.6%
Happy 49.6%
Sad 49.7%
Fear 49.7%
Calm 49.8%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 18-30
Gender Female, 50%
Happy 49.5%
Confused 49.5%
Calm 49.6%
Fear 50.1%
Angry 49.6%
Sad 49.7%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 10-20
Gender Male, 50.3%
Fear 49.6%
Sad 50.1%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 18-30
Gender Female, 50%
Fear 49.7%
Surprised 49.5%
Angry 49.5%
Calm 49.6%
Sad 50.2%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-37
Gender Male, 50.1%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%

AWS Rekognition

Age 27-43
Gender Female, 50.1%
Calm 49.5%
Fear 49.5%
Sad 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Angry 50.3%

AWS Rekognition

Age 22-34
Gender Female, 50%
Fear 50.5%
Sad 49.5%
Happy 49.5%
Calm 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 23-35
Gender Male, 50.3%
Confused 49.5%
Fear 49.5%
Calm 50.2%
Happy 49.5%
Sad 49.7%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.6%
Fear 49.6%
Calm 49.6%
Angry 50.2%
Confused 49.5%

AWS Rekognition

Age 26-42
Gender Male, 53.4%
Calm 49.6%
Angry 47.4%
Disgusted 45.4%
Happy 45.2%
Sad 45.5%
Confused 45.2%
Fear 45.3%
Surprised 46.4%

AWS Rekognition

Age 26-40
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Angry 50%
Happy 49.5%
Sad 49.8%
Calm 49.6%
Surprised 49.5%
Fear 49.5%

Microsoft Cognitive Services

Age 60
Gender Male

Microsoft Cognitive Services

Age 38
Gender Female

Microsoft Cognitive Services

Age 29
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very likely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98%

Categories

Imagga

paintings art 89.6%
people portraits 5.6%
events parties 1.9%

Text analysis

Amazon

thI
41977
M2co 2Ela tIRW

Google

t
a
41917
t a a a 41917