Human Generated Data

Title

Social Settlements: United States. Maine. Lewiston. "Social Settlement of Lewiston and Auburn": The Social Settlement of Lewiston and Auburn, Lewiston, Maine.: Some of the Clubs and Classes.
Date

c. 1908
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2943.2

Human Generated Data

Title

Social Settlements: United States. Maine. Lewiston. "Social Settlement of Lewiston and Auburn": The Social Settlement of Lewiston and Auburn, Lewiston, Maine.: Some of the Clubs and Classes.

People

Artist: Unidentified Artist,

Date

c. 1908

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2943.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Chair 100
Furniture 100
Human 99.8
Person 99.8
Person 99.5
Person 99.2
Person 99.1
Person 99.1
Person 98.6
Person 98.3
Person 98
Person 97.4
Person 96.6
Kindergarten 96.3
Person 83.4
Person 80.3
Person 77.7
Person 76.3
People 75.8
Person 75.8
Person 75.1
School 69.8
Person 67.7
Room 65.6
Indoors 65.6
Person 64.4
Bicycle 63.4
Bike 63.4
Transportation 63.4
Vehicle 63.4
Person 55.3
Person 43.1

Clarifai
created on 2019-06-05

people 99.9
group 99.7
many 99.6
group together 99.1
child 98.3
adult 96.4
woman 95.3
leader 92.4
several 90.9
man 90.9
wear 90.6
education 90.4
administration 86.6
school 86.4
boy 86
music 80.3
elementary school 78.9
teacher 78
five 77.5
family 77.4

Imagga
created on 2019-06-05

nurse 72.5
man 32.2
people 27.9
uniform 24.6
kin 22.8
male 22.7
person 22.6
military uniform 19.7
family 19.5
happy 19.4
clothing 17.2
adult 16
couple 15.7
happiness 14.9
men 14.6
group 14.5
team 14.3
beach 14.3
together 14
smiling 13.7
mother 13.3
sand 13.1
portrait 12.9
business 12.1
love 11.8
lifestyle 11.5
holiday 11.4
child 11.4
boy 11.3
old 11.1
hospital 10.8
casual 10.2
father 10
outdoor 9.9
vacation 9.8
businessman 9.7
medical 9.7
30s 9.6
four 9.6
standing 9.5
sea 9.4
water 9.3
mature 9.3
holding 9.1
fun 9
working 8.8
women 8.7
bride 8.6
professional 8.5
doctor 8.4
helmet 8.4
summer 8.3
teamwork 8.3
ocean 8.3
20s 8.2
outdoors 8.2
businesswoman 8.2
coast 8.1
worker 8
home 8
job 7.9
medicine 7.9
consumer goods 7.9
day 7.8
smile 7.8
40s 7.8
run 7.7
son 7.6
life 7.6
daughter 7.6
health 7.6
husband 7.6
two 7.6
walking 7.6
patient 7.6
joy 7.5
senior 7.5
care 7.4
camera 7.4
wedding 7.3
joyful 7.3
cheerful 7.3
black 7.2
kid 7.1
work 7.1
travel 7
indoors 7
sky 7

Google
created on 2019-06-05

People 96.3
Photograph 95
Vintage clothing 77.1
Family 70.6
Child 67.1
Classic 63.8
State school 60.6
History 54.1

Microsoft
created on 2019-06-05

person 100
building 99.8
posing 99.5
group 99.2
old 98.9
outdoor 97
clothing 95.6
standing 95.2
people 90.1
black 89
sport 74.3
child 73.8
dancer 67.8
school 67.3
smile 67.1
bicycle 51.9
vintage 49.9
clothes 25.3
family 20.7

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Surprised 45.1%
Happy 45.4%
Confused 45.3%
Sad 46%
Calm 52.5%
Disgusted 45.5%
Angry 45.2%

AWS Rekognition

Age 16-27
Gender Female, 54.4%
Confused 45.1%
Happy 45.5%
Angry 45.5%
Sad 47.8%
Calm 50.1%
Disgusted 45.8%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.5%
Confused 45.4%
Happy 46.1%
Angry 47.7%
Sad 48%
Calm 47.3%
Disgusted 45.2%
Surprised 45.3%

AWS Rekognition

Age 10-15
Gender Female, 54.7%
Calm 49.5%
Happy 45.3%
Angry 48.2%
Sad 46.4%
Surprised 45.2%
Confused 45.3%
Disgusted 45.2%

AWS Rekognition

Age 11-18
Gender Female, 53.5%
Disgusted 45.2%
Confused 45.2%
Angry 52.3%
Sad 45.5%
Surprised 45%
Happy 45.1%
Calm 46.8%

AWS Rekognition

Age 45-63
Gender Female, 53%
Happy 45.1%
Surprised 45%
Calm 50.7%
Angry 45.2%
Confused 45.2%
Sad 48.7%
Disgusted 45.1%

AWS Rekognition

Age 10-15
Gender Female, 51.5%
Sad 52.9%
Happy 45.1%
Disgusted 45%
Calm 45.3%
Angry 46.3%
Confused 45.4%
Surprised 45.1%

AWS Rekognition

Age 9-14
Gender Female, 50.7%
Sad 49.8%
Angry 45.8%
Calm 45.8%
Confused 45.6%
Happy 46.3%
Surprised 46.1%
Disgusted 45.6%

AWS Rekognition

Age 10-15
Gender Female, 54%
Surprised 45.7%
Confused 45.2%
Happy 45.9%
Angry 46.3%
Calm 45.5%
Sad 51.2%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 52.4%
Disgusted 45.1%
Calm 45%
Surprised 45%
Angry 53%
Sad 46.8%
Confused 45%
Happy 45%

AWS Rekognition

Age 10-15
Gender Female, 54.6%
Disgusted 45.1%
Calm 45.2%
Angry 48.7%
Sad 50.5%
Happy 45.2%
Surprised 45.1%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Sad 48.8%
Disgusted 45.1%
Angry 46.3%
Surprised 45.1%
Calm 49.4%
Confused 45.3%
Happy 45.1%

AWS Rekognition

Age 10-15
Gender Female, 55%
Sad 52.4%
Calm 45.3%
Disgusted 45.2%
Happy 45.8%
Confused 45.3%
Angry 45.5%
Surprised 45.5%

AWS Rekognition

Age 9-14
Gender Male, 51.1%
Angry 52.3%
Happy 45.1%
Surprised 45.2%
Calm 46.1%
Confused 45.3%
Sad 45.5%
Disgusted 45.5%

AWS Rekognition

Age 10-15
Gender Male, 53%
Confused 45%
Calm 45%
Happy 45.2%
Surprised 45%
Sad 54.1%
Angry 45.5%
Disgusted 45%

AWS Rekognition

Age 19-36
Gender Female, 54.8%
Confused 45.2%
Calm 46.5%
Happy 45.2%
Surprised 45.2%
Sad 52.3%
Angry 45.3%
Disgusted 45.1%

AWS Rekognition

Age 10-15
Gender Female, 53.7%
Surprised 45.2%
Sad 48.4%
Happy 50.8%
Disgusted 45.1%
Confused 45.1%
Calm 45.1%
Angry 45.3%

AWS Rekognition

Age 17-27
Gender Male, 50.6%
Disgusted 45.9%
Surprised 45.1%
Happy 45.2%
Calm 46.9%
Angry 48.6%
Sad 47.9%
Confused 45.3%

AWS Rekognition

Age 15-25
Gender Female, 53.9%
Sad 45.8%
Angry 45.3%
Calm 51.5%
Confused 45.2%
Happy 46.8%
Surprised 45.1%
Disgusted 45.2%

AWS Rekognition

Age 15-25
Gender Female, 54.9%
Sad 45.8%
Disgusted 45.1%
Surprised 45.1%
Angry 50.3%
Happy 45.5%
Calm 48%
Confused 45.1%

AWS Rekognition

Age 6-13
Gender Female, 54.5%
Angry 51.7%
Surprised 45.1%
Disgusted 45.2%
Happy 45.1%
Calm 45.2%
Sad 47.6%
Confused 45.1%

AWS Rekognition

Age 10-15
Gender Female, 51.9%
Calm 45%
Disgusted 45%
Confused 45%
Happy 45%
Angry 45.3%
Surprised 45%
Sad 54.6%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Surprised 45.4%
Disgusted 45.3%
Confused 45.2%
Sad 49.8%
Calm 48.4%
Happy 45.5%
Angry 45.5%

AWS Rekognition

Age 12-22
Gender Female, 55%
Sad 45.8%
Angry 45.3%
Calm 45.2%
Confused 45.3%
Happy 52.5%
Surprised 45.6%
Disgusted 45.3%

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 99.8%
Bicycle 63.4%

Categories

Imagga

people portraits 93.7%
events parties 4.9%

Text analysis

Amazon

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Google

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