Human Generated Data

Title

Social Settlements: United States. Maryland. Baltimore. "Maccabean House": Agencies Promoting Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. Maccabean House, Baltimore, Md.: Boys Club

Date

c. 1903

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, 3.2002.2970.2

Human Generated Data

Title

Social Settlements: United States. Maryland. Baltimore. "Maccabean House": Agencies Promoting Assimilation of the Immigrant. Imparting American Standards to the Foreign Born. Maccabean House, Baltimore, Md.: Boys Club

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2970.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.4
Person 99.4
Person 99.2
Person 99
Person 99
Person 98.1
Person 97.3
Person 95.7
People 95.2
Person 94.6
Person 93.6
Person 93.5
Person 90.3
Person 85.4
Person 77.6
Military 71.6
Person 71.3
Person 70.7
Military Uniform 69.6
Outdoors 62.5
Troop 62.2
Armored 62.2
Army 62.2
Team 60.9
Person 55.4

Clarifai
created on 2019-06-05

people 100
group 99.3
many 98.7
group together 97.6
adult 97
administration 95.8
child 94.3
military 93.8
man 93.8
leader 93
war 91.9
several 90.5
portrait 88.7
wear 86.4
retro 85.8
five 84
woman 82
uniform 81.7
offense 78.5
school 75.8

Imagga
created on 2019-06-05

kin 92.3
silhouette 31.4
man 25.5
people 23.4
world 21.6
male 20.6
person 18.6
men 16.3
sunset 15.3
adult 14.4
group 13.7
human 13.5
black 13.4
dark 12.5
sport 10.9
boy 10.4
portrait 10.4
friendship 10.3
evening 10.3
body 9.6
women 9.5
art 9.4
outdoor 9.2
dirty 9
sky 8.9
success 8.8
businessman 8.8
graphic 8.8
couple 8.7
business 8.5
old 8.4
city 8.3
freedom 8.2
girls 8.2
happy 8.1
urban 7.9
happiness 7.8
run 7.7
summer 7.7
grunge 7.7
walk 7.6
walking 7.6
uniform 7.5
fun 7.5
outdoors 7.5
life 7.4
action 7.4
wind instrument 7.4
decoration 7.3
sun 7.2
lifestyle 7.2
team 7.2
shadow 7.2
history 7.2
family 7.1
child 7.1

Google
created on 2019-06-05

Social group 95.5
Team 74.5
History 67.6
Family 58.6
Crew 52.6
Vintage clothing 52.1

Microsoft
created on 2019-06-05

person 98.7
clothing 98.7
outdoor 97.7
posing 97.7
smile 95.4
group 92.1
old 92
man 90.3
standing 78.1
human face 74.6
woman 55.5

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 15-25
Gender Male, 53.1%
Happy 45.2%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Sad 53.8%
Angry 45.1%
Calm 45.8%

AWS Rekognition

Age 20-38
Gender Female, 54.3%
Disgusted 45%
Sad 54.7%
Surprised 45%
Calm 45%
Angry 45.2%
Happy 45%
Confused 45%

AWS Rekognition

Age 17-27
Gender Male, 54.6%
Angry 45%
Happy 54.4%
Disgusted 45%
Confused 45%
Surprised 45%
Sad 45.5%
Calm 45%

AWS Rekognition

Age 20-38
Gender Male, 53.9%
Happy 45.9%
Angry 45.6%
Calm 50.7%
Confused 45.5%
Surprised 45.2%
Disgusted 45.4%
Sad 46.8%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 45.9%
Surprised 45.2%
Disgusted 46%
Confused 45.1%
Sad 49.9%
Happy 47.7%
Angry 45.2%

AWS Rekognition

Age 30-47
Gender Female, 53.5%
Calm 46.4%
Confused 45.1%
Sad 46.5%
Surprised 45.4%
Happy 45.7%
Disgusted 45.7%
Angry 50.2%

AWS Rekognition

Age 10-15
Gender Female, 52.1%
Surprised 45.2%
Confused 45.2%
Happy 45.6%
Angry 45.4%
Calm 47.4%
Sad 51%
Disgusted 45.3%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Confused 45%
Disgusted 45%
Happy 45%
Calm 45.1%
Surprised 45%
Sad 48.1%
Angry 51.7%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Happy 45.1%
Calm 46%
Sad 53.7%
Angry 45.1%
Confused 45%
Surprised 45%
Disgusted 45%

AWS Rekognition

Age 20-38
Gender Male, 54.4%
Angry 51.2%
Calm 45.1%
Sad 48.5%
Confused 45.1%
Disgusted 45.1%
Happy 45%
Surprised 45%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Sad 48.1%
Confused 45.1%
Angry 45.3%
Surprised 45.1%
Happy 45.4%
Calm 50.4%
Disgusted 45.5%

AWS Rekognition

Age 10-15
Gender Male, 54.7%
Disgusted 45.1%
Happy 46%
Surprised 45.1%
Angry 45.2%
Confused 45.1%
Calm 45.2%
Sad 53.4%

AWS Rekognition

Age 9-14
Gender Female, 54.6%
Happy 46.9%
Angry 45.5%
Disgusted 45.6%
Confused 45.1%
Sad 48.4%
Calm 48.4%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Disgusted 45.2%
Confused 45.4%
Angry 45.4%
Calm 46.7%
Surprised 45.2%
Happy 45.6%
Sad 51.6%

AWS Rekognition

Age 35-52
Gender Male, 51.3%
Sad 48.4%
Disgusted 47.2%
Confused 45.3%
Angry 45.7%
Happy 46.2%
Surprised 45.1%
Calm 47.2%

AWS Rekognition

Age 26-43
Gender Male, 53.6%
Angry 45.6%
Calm 47.1%
Sad 51.2%
Disgusted 45.2%
Happy 45.4%
Confused 45.4%
Surprised 45.2%

Google Vision

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

Feature analysis

Amazon

Person 99.4%

Categories

Imagga

people portraits 96.8%
events parties 2.7%

Text analysis

Amazon

S
WAALT