Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. "Greenpoint Settlement": Greenpoint Settlement, Brooklyn, N.Y.: Greenpoint Playground 1900. Started by Greenpoint Settlement and maintained for four summers in coöperation with the Brooklyn Society for Parks and Playgrounds. Now in Greenpoint Park under Park Department.

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, 3.2002.3133.2

Human Generated Data

Title

Social Settlements: United States. New York. Brooklyn. "Greenpoint Settlement": Greenpoint Settlement, Brooklyn, N.Y.: Greenpoint Playground 1900. Started by Greenpoint Settlement and maintained for four summers in coöperation with the Brooklyn Society for Parks and Playgrounds. Now in Greenpoint Park under Park Department.

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, 3.2002.3133.2

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 98.5
Human 98.5
Person 97.1
Person 96.9
Person 96.7
Room 94.1
Indoors 94.1
Person 91.1
Art 89.3
Painting 89.3
Person 89.3
Person 87.4
Interior Design 86.3
Person 86.2
Person 84.3
Person 82.6
Person 82.5
Person 80.3
Person 76.3
Person 64.6
Person 64.1
Person 63.8
Kindergarten 59.1
Crowd 58
School 56.6
Classroom 56.1
Person 46.7
Person 41.8

Clarifai
created on 2019-06-06

people 100
group 99.8
child 99.7
many 99.5
group together 98.5
adult 97.4
several 96
man 94.9
education 93.1
woman 92.2
boy 90.4
wear 87.7
military 86.9
war 86.8
administration 86.1
recreation 84.7
school 83.5
sit 81.6
room 81.5
elementary school 81.2

Imagga
created on 2019-06-06

seller 27.8
man 18.8
old 18.1
building 14.3
sky 13.4
outdoors 13.2
industry 12.8
architecture 12.5
person 12.3
people 12.3
industrial 11.8
travel 11.3
desert 11.2
vintage 10.7
shop 10.6
male 10.6
work 10.3
structure 10.3
transportation 9.9
dairy 9.8
sand 9.6
adult 9.4
construction 9.4
equipment 9.3
holiday 9.3
stall 9.2
house 9.2
transport 9.1
religion 9
tourist 8.6
life 8
home 8
steel 7.9
day 7.8
scene 7.8
summer 7.7
outside 7.7
elderly 7.7
outdoor 7.6
dirt 7.6
mercantile establishment 7.5
senior 7.5
tourism 7.4
vacation 7.4
historic 7.3
road 7.2
history 7.1

Google
created on 2019-06-06

Photograph 95.8
People 93.9
Snapshot 84.9
Room 65.7
Photography 62.4
Family 55.7
Child 52

Microsoft
created on 2019-06-06

building 99.1
person 96.4
clothing 93.7
old 85.3
group 77.8
child 77.7
people 65.8
photograph 58.5
posing 44.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Female, 50.4%
Calm 49.6%
Sad 49.9%
Surprised 49.5%
Angry 49.8%
Happy 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 54.6%
Calm 47%
Disgusted 45.5%
Angry 46.4%
Happy 45.2%
Sad 48.3%
Surprised 45.6%
Confused 47.1%

AWS Rekognition

Age 12-22
Gender Female, 50.5%
Happy 50.1%
Disgusted 49.5%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.7%

AWS Rekognition

Age 6-13
Gender Female, 53%
Happy 45.6%
Angry 45.8%
Calm 48.9%
Sad 47.7%
Surprised 45.7%
Confused 45.2%
Disgusted 46%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 49.6%
Happy 49.6%
Angry 49.7%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Sad 50.1%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Sad 50.2%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Happy 49.6%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Confused 49.6%
Happy 49.6%
Sad 49.8%
Disgusted 49.5%
Angry 49.6%
Calm 49.8%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Happy 49.5%
Calm 49.5%
Sad 50.3%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Angry 49.6%
Calm 49.6%
Surprised 49.5%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Calm 49.5%
Angry 49.5%
Happy 49.7%
Sad 50%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50%
Surprised 49.6%
Happy 49.9%
Confused 49.5%
Calm 49.7%
Disgusted 49.6%
Angry 49.6%
Sad 49.7%

AWS Rekognition

Age 35-55
Gender Female, 50.2%
Sad 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 49.8%
Disgusted 49.6%
Surprised 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.7%
Angry 49.7%

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.2%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Disgusted 49.6%
Surprised 49.6%
Sad 50%
Angry 49.6%
Happy 49.6%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.7%
Confused 49.7%
Happy 49.5%

AWS Rekognition

Age 10-15
Gender Male, 50.4%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 50.4%
Angry 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Sad 49.5%
Confused 49.5%
Calm 49.6%
Disgusted 50.3%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Angry 49.6%
Confused 49.7%
Calm 49.8%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Disgusted 49.5%
Happy 49.6%
Angry 49.8%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Calm 49.8%

AWS Rekognition

Age 38-59
Gender Female, 50.1%
Calm 49.5%
Happy 49.5%
Sad 49.6%
Angry 49.5%
Confused 49.5%
Disgusted 50.4%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%
Calm 49.7%
Happy 49.7%
Angry 49.5%
Sad 49.8%

Feature analysis

Amazon

Person 98.5%
Painting 89.3%

Text analysis

Amazon

r
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Google

G
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