Human Generated Data

Title

Social Settlements: United States. District of Columbia. Washington. "Noel House": Noel House, Washington, D.C.: Tether Ball.
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, 3.2002.2797.2

Human Generated Data

Title

Social Settlements: United States. District of Columbia. Washington. "Noel House": Noel House, Washington, D.C.: Tether Ball.

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, 3.2002.2797.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.8
Human 99.8
Person 99.7
Person 99.5
Person 99.5
Person 99.2
Person 99.1
Person 99
Person 98.6
Person 98.4
Person 97
Person 97
Clothing 95.9
Apparel 95.9
Person 95.2
Person 93
People 92.7
Person 91.8
Person 84
Crowd 80.9
Person 74.8
Person 74.7
Shorts 74
Military 72.6
Military Uniform 67.4
Tennis Racket 67.3
Racket 67.3
Female 65.7
Soldier 62.6
Person 61
Skirt 58.8
Sailor Suit 58
Person 57.6
Army 57.6
Armored 57.6
Troop 57.3
Parade 56.1

Clarifai
created on 2019-06-05

people 100
group 99.6
many 99.5
child 99.1
group together 97.4
adult 96.7
wear 95.3
boy 93.2
woman 92.9
man 92.3
several 92.1
administration 89.9
war 86.8
military 86.6
ceremony 85.1
recreation 84.9
crowd 84.9
leader 81.4
outfit 78.4
home 78.2

Imagga
created on 2019-06-05

maypole 37.9
post 29.2
flagpole 28
upright 22.7
staff 21.5
stick 18.4
old 18.1
people 17.3
man 16.8
pedestrian 16.5
structural member 15.1
child 15
history 14.3
outdoor 13.7
person 12.9
statue 12.3
weapon 12
travel 12
world 10.8
sky 10.8
two 10.2
adult 10
religion 9.9
uniform 9.7
war 9.6
ancient 9.5
men 9.4
winter 9.4
historic 9.2
city 9.1
protection 9.1
tourism 9.1
outdoors 8.9
building 8.7
military 8.7
sport 8.7
culture 8.5
religious 8.4
support 8.4
danger 8.2
male 7.9
destruction 7.8
nuclear 7.7
sculpture 7.6
historical 7.5
sign 7.5
dark 7.5
mother 7.4
symbol 7.4
tradition 7.4
tourist 7.4
student 7.3
group 7.2
dress 7.2
holiday 7.2
women 7.1
family 7.1
architecture 7

Google
created on 2019-06-05

People 93.7
Adaptation 67
History 54.1
Pole 53.7

Microsoft
created on 2019-06-05

person 98
clothing 97.4
outdoor 94.9
old 92.5
group 88.8
posing 87.3
black 83
sport 76.6
people 74.6
woman 65.2
dressed 37.7
vintage 28.9
clothes 25

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Male, 51.2%
Disgusted 45.2%
Confused 45.3%
Angry 45.9%
Calm 45.4%
Surprised 45.3%
Happy 45.5%
Sad 52.5%

AWS Rekognition

Age 23-38
Gender Male, 54.3%
Surprised 45.1%
Confused 45.1%
Sad 48%
Calm 48.8%
Happy 47.9%
Disgusted 45%
Angry 45.1%

AWS Rekognition

Age 38-57
Gender Male, 50.6%
Surprised 45.2%
Confused 45.2%
Sad 45.6%
Disgusted 45.9%
Calm 50.7%
Angry 45.4%
Happy 47%

AWS Rekognition

Age 26-43
Gender Male, 51.8%
Disgusted 46.8%
Happy 45.9%
Confused 45.3%
Sad 46.1%
Angry 49.9%
Surprised 45.2%
Calm 45.8%

AWS Rekognition

Age 38-59
Gender Male, 54.4%
Angry 45.7%
Disgusted 51%
Confused 45.5%
Calm 45.4%
Happy 45.1%
Surprised 45.1%
Sad 47.4%

AWS Rekognition

Age 26-44
Gender Female, 54.8%
Angry 46.6%
Happy 45.3%
Disgusted 48.4%
Sad 45.4%
Confused 45.1%
Calm 48.9%
Surprised 45.2%

AWS Rekognition

Age 9-14
Gender Female, 53.2%
Happy 45.2%
Disgusted 45.6%
Sad 46.8%
Confused 45.3%
Angry 50.8%
Surprised 45.4%
Calm 45.8%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Sad 51.9%
Disgusted 45.1%
Calm 45.1%
Confused 45.2%
Angry 45.2%
Surprised 45.1%
Happy 47.3%

AWS Rekognition

Age 48-68
Gender Female, 50.8%
Angry 49.8%
Happy 46%
Disgusted 45.4%
Confused 45.2%
Surprised 45.3%
Sad 48.1%
Calm 45.3%

AWS Rekognition

Age 14-23
Gender Female, 53.3%
Angry 45.1%
Disgusted 45%
Sad 54.8%
Confused 45%
Happy 45%
Surprised 45%
Calm 45.1%

AWS Rekognition

Age 26-43
Gender Male, 52.5%
Angry 47%
Surprised 45.4%
Confused 45.6%
Sad 48.9%
Disgusted 45.4%
Happy 45.3%
Calm 47.4%

AWS Rekognition

Age 45-66
Gender Female, 53.3%
Happy 53.1%
Calm 45.8%
Confused 45.1%
Disgusted 45.5%
Surprised 45.2%
Angry 45.2%
Sad 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.2%
Happy 45.1%
Surprised 45.1%
Calm 45.2%
Confused 45.4%
Disgusted 45.4%
Angry 48%
Sad 50.9%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Calm 49.6%
Angry 50.3%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Female, 52.1%
Sad 46%
Confused 45.4%
Angry 50.5%
Happy 45%
Calm 47.8%
Surprised 45.1%
Disgusted 45.1%

AWS Rekognition

Age 30-47
Gender Female, 54.8%
Sad 45.9%
Disgusted 45.6%
Angry 46.5%
Surprised 45.2%
Calm 51.1%
Confused 45.3%
Happy 45.5%

AWS Rekognition

Age 29-45
Gender Female, 53.5%
Sad 51.5%
Disgusted 45.1%
Calm 45.6%
Confused 45.1%
Angry 47.4%
Surprised 45.2%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Sad 48.8%
Disgusted 45.5%
Surprised 45.3%
Happy 45.6%
Confused 45.2%
Angry 48.9%
Calm 45.7%

AWS Rekognition

Age 10-15
Gender Female, 51.3%
Disgusted 45.2%
Sad 46%
Surprised 45.4%
Calm 45.2%
Angry 45.4%
Happy 52.6%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.1%
Sad 48.9%
Angry 45.2%
Calm 50%
Happy 45.1%
Disgusted 45.4%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 45.6%
Happy 46.7%
Surprised 46.2%
Sad 46%
Angry 47.6%
Disgusted 47.1%
Confused 45.7%

AWS Rekognition

Age 20-38
Gender Male, 53.6%
Calm 51.9%
Disgusted 45.1%
Confused 45.4%
Angry 45.5%
Happy 46%
Sad 46%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Confused 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.7%
Calm 45.1%
Angry 45.1%
Confused 45.1%
Sad 54.5%
Happy 45.1%
Disgusted 45.1%
Surprised 45%

Feature analysis

Amazon

Person 99.8%
Tennis Racket 67.3%

Text analysis

Amazon

Soo