Human Generated Data

Title

Untitled (twelve young family members posed sitting in living room)

Date

1949

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, 4.2002.9230

Human Generated Data

Title

Untitled (twelve young family members posed sitting in living room)

People

Artist: Martin Schweig, American 20th century

Date

1949

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9230

Machine Generated Data

Tags

Amazon
created on 2022-01-23

Person 99.3
Human 99.3
Person 99.2
Person 99.2
Person 99.2
Person 98.1
Person 96.7
Clothing 94.6
Apparel 94.6
People 92.1
Person 92
Person 90.6
Person 90.2
Person 80.3
Dress 80.1
Female 77.6
Baby 73.6
Face 73.4
Chair 73.2
Furniture 73.2
Person 72.1
Kid 66.8
Child 66.8
Photography 65.6
Photo 65.6
Portrait 65.2
Suit 64.3
Coat 64.3
Overcoat 64.3
Girl 64.3
Person 64
Person 63.4
Person 62.7
Indoors 62.1
Home Decor 61.2
Family 60.9
Room 60.5
Flooring 59.7
Urban 56.8
Building 56.6
Housing 56.4
Text 55

Clarifai
created on 2023-10-26

people 99.8
group 99.7
child 98.2
group together 97.8
education 96.9
adult 95.2
woman 94.3
many 94.2
man 94.1
school 91.6
teacher 90.3
boy 88.7
wear 86.5
adolescent 86.1
retro 84.3
several 83.5
leader 82.2
portrait 81.4
uniform 79.5
son 77.3

Imagga
created on 2022-01-23

kin 31.7
man 31.6
person 27.2
classroom 26.7
people 25.6
male 24.1
room 21.8
adult 18.1
team 17.9
smiling 17.3
group 16.9
happy 16.9
businessman 16.8
player 16.7
couple 16.5
portrait 16.2
business 15.8
men 15.4
family 14.2
senior 14
home 13.5
gymnasium 13.5
nurse 13.4
indoors 13.2
black 12.6
lifestyle 12.3
together 12.3
contestant 12.2
sport 12.1
child 11.8
teacher 11.7
world 11.4
athletic facility 10.9
golfer 10.6
sibling 10.6
professional 10.2
two 10.2
boy 9.6
standing 9.6
women 9.5
enjoying 9.5
mature 9.3
student 9.3
inside 9.2
active 9.2
silhouette 9.1
businesswoman 9.1
facility 8.8
office 8.8
mother 8.8
athlete 8.6
happiness 8.6
statue 8.6
teamwork 8.3
camera 8.3
success 8
job 8
sitting 7.7
mid adult 7.7
30s 7.7
old 7.7
joy 7.5
friends 7.5
fun 7.5
school 7.5
cheerful 7.3
indoor 7.3
smile 7.1
to 7.1
interior 7.1
ball 7
grandfather 7

Google
created on 2022-01-23

Microsoft
created on 2022-01-23

person 99.4
text 93.5
clothing 87.2
window 85.8
outdoor 85.7
posing 85.3
man 71.7
footwear 70.8
female 26.8

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 27-37
Gender Male, 88.9%
Calm 97.5%
Happy 0.7%
Sad 0.6%
Surprised 0.5%
Disgusted 0.3%
Confused 0.2%
Fear 0.2%
Angry 0.1%

AWS Rekognition

Age 13-21
Gender Male, 99.6%
Calm 97.3%
Sad 1.6%
Happy 0.3%
Confused 0.2%
Surprised 0.2%
Disgusted 0.2%
Angry 0.1%
Fear 0.1%

AWS Rekognition

Age 28-38
Gender Male, 98.8%
Happy 95.7%
Sad 2.1%
Calm 0.9%
Surprised 0.4%
Angry 0.3%
Disgusted 0.2%
Confused 0.2%
Fear 0.1%

AWS Rekognition

Age 40-48
Gender Male, 99.7%
Happy 64.6%
Calm 16.4%
Sad 11.2%
Confused 4.3%
Disgusted 1.5%
Surprised 0.9%
Angry 0.7%
Fear 0.5%

AWS Rekognition

Age 10-18
Gender Female, 98.8%
Calm 62.7%
Angry 17.9%
Sad 6.6%
Surprised 4.1%
Disgusted 3.7%
Happy 3.2%
Fear 1%
Confused 0.9%

AWS Rekognition

Age 22-30
Gender Male, 99.8%
Surprised 96%
Calm 2.4%
Angry 1%
Fear 0.2%
Disgusted 0.1%
Happy 0.1%
Sad 0.1%
Confused 0.1%

AWS Rekognition

Age 10-18
Gender Female, 99.4%
Surprised 50.3%
Calm 32.2%
Angry 7.8%
Happy 5.9%
Disgusted 1.9%
Sad 0.9%
Confused 0.6%
Fear 0.5%

AWS Rekognition

Age 26-36
Gender Male, 100%
Sad 45.3%
Calm 18.9%
Confused 10.6%
Happy 10%
Angry 5.2%
Surprised 4.7%
Disgusted 4.5%
Fear 0.8%

AWS Rekognition

Age 24-34
Gender Female, 97.7%
Calm 96.5%
Surprised 2.6%
Fear 0.3%
Disgusted 0.2%
Happy 0.1%
Sad 0.1%
Angry 0.1%
Confused 0.1%

AWS Rekognition

Age 29-39
Gender Male, 98.8%
Happy 70.1%
Surprised 18.6%
Calm 7.2%
Angry 1.4%
Fear 1%
Sad 0.7%
Disgusted 0.6%
Confused 0.4%

AWS Rekognition

Age 25-35
Gender Male, 100%
Surprised 50.6%
Calm 48.2%
Confused 0.4%
Disgusted 0.2%
Sad 0.2%
Angry 0.2%
Happy 0.1%
Fear 0.1%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
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

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
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

Google Vision

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

Feature analysis

Amazon

Person 99.3%

Text analysis

Amazon

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Google

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