Human Generated Data

Title

Social Settlements: United States. Delaware. Wilmington. "Peoples Settlement": The Peoples Settlement, Wilmington, Del.: Settlement

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, 3.2002.2793.1

Human Generated Data

Title

Social Settlements: United States. Delaware. Wilmington. "Peoples Settlement": The Peoples Settlement, Wilmington, Del.: Settlement

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, 3.2002.2793.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.3
Human 99.3
Person 99
Person 97.9
Person 97.5
Person 96.9
Outdoors 93.7
Pedestrian 92.7
Nature 92.2
Person 90.7
Person 85.2
Building 81.9
People 76.9
Person 72.5
Person 71.7
Snow 67.4
Crowd 66
Urban 63.3
Apparel 61.7
Clothing 61.7
Housing 61.4
Transportation 60.9
Countryside 58.2
Vehicle 57.7
Architecture 56.4
Marching 55.3
Person 52.9
Person 51.3

Clarifai
created on 2019-06-05

people 99.9
group 99.8
many 99.5
group together 98.9
street 97.1
administration 96.6
home 96.6
adult 96.5
soldier 96.2
cavalry 94.6
man 94.6
police 93
military 92.5
several 92.3
town 89.9
war 89.8
vehicle 87.3
leader 84.4
offense 81.7
crowd 81.4

Imagga
created on 2019-06-05

building 48.1
architecture 43.4
graffito 39.9
old 33.5
house 32
structure 29.8
decoration 28.4
city 25.8
barbershop 25.4
wall 24.4
window 23.8
shop 21.6
stone 20.3
town 19.5
street 19.3
ancient 19
brick 17.3
school 17
mercantile establishment 16.4
door 16.3
construction 16.3
travel 16.2
home 16
balcony 15.8
tourism 15.7
exterior 15.7
historic 14.7
history 14.3
facade 13.6
urban 13.1
antique 13
sky 12.8
palace 12.4
village 11.7
vintage 11.6
tourist 11.1
place of business 10.9
aged 10.9
historical 10.4
grunge 10.2
snow 10.2
church 10.2
glass 10.1
abandoned 9.8
roof 9.7
detail 9.7
windows 9.6
dirty 9
landmark 9
houses 8.7
medieval 8.6
culture 8.5
retro 8.2
road 8.1
wooden 7.9
art 7.8
scene 7.8
empty 7.7
middle 7.7
residential 7.7
outdoor 7.6
buildings 7.6
monument 7.5
alley 7.3
metal 7.2
rural 7.1

Google
created on 2019-06-05

Photograph 95.8
People 94.1
Snapshot 84.7
Vintage clothing 75.3
History 74.6
House 68.3
Building 63.1
Tourism 56.9
Paper product 55.7
Street 54.6
Monochrome 54.4
Family 54.3
Art 50.2

Microsoft
created on 2019-06-05

building 99.6
outdoor 99.5
ground 98.6
old 98.2
person 93.4
people 55.8
vintage 51
town 34.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Calm 49.8%
Happy 49.5%
Surprised 49.5%
Sad 49.9%
Angry 49.7%
Disgusted 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Surprised 49.5%
Happy 49.7%
Sad 49.7%
Calm 49.7%
Confused 49.5%
Disgusted 49.5%
Angry 49.9%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Disgusted 49.5%
Sad 49.7%
Calm 49.7%
Happy 49.6%
Confused 49.6%
Surprised 49.6%
Angry 49.8%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Happy 49.7%
Surprised 49.6%
Angry 49.6%
Sad 49.9%
Confused 49.6%
Disgusted 49.6%
Calm 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.7%
Confused 49.5%
Sad 50.1%
Disgusted 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.5%
Disgusted 49.7%
Calm 49.8%
Surprised 49.6%
Sad 49.6%
Confused 49.6%
Angry 49.7%
Happy 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Sad 50.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.7%
Calm 49.7%
Angry 49.6%
Sad 49.8%
Happy 49.6%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Calm 49.7%
Angry 49.6%
Confused 49.5%
Sad 49.6%
Happy 49.9%
Disgusted 49.5%
Surprised 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Disgusted 49.5%
Confused 49.5%
Surprised 49.6%
Calm 49.5%
Happy 49.6%
Angry 50%
Sad 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Disgusted 49.7%
Happy 49.6%
Sad 49.6%
Angry 49.8%
Calm 49.6%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Sad 50.2%
Angry 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.9%
Surprised 49.5%
Happy 49.5%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Sad 48%
Angry 46.4%
Calm 47.2%
Happy 45.1%
Disgusted 46.9%
Confused 46.1%
Surprised 45.4%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%
Angry 49.7%
Sad 50%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 50.4%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Sad 49.8%
Surprised 49.6%
Disgusted 49.6%
Angry 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Sad 50.2%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Angry 49.6%
Calm 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Happy 49.6%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Sad 49.6%
Confused 49.6%
Surprised 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Sad 50%
Angry 49.6%
Calm 49.7%
Confused 49.5%
Happy 49.6%
Surprised 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.5%
Happy 49.5%
Surprised 49.6%
Sad 49.9%
Angry 49.9%
Disgusted 49.6%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Angry 49.6%
Disgusted 49.5%
Happy 50.2%
Sad 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Sad 50.3%
Happy 49.5%
Calm 49.7%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Happy 49.6%
Disgusted 49.6%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.2%
Calm 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%
Confused 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

Age 45-65
Gender Male, 50.3%
Angry 49.6%
Happy 49.6%
Disgusted 50%
Confused 49.6%
Surprised 49.6%
Sad 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Confused 49.6%
Angry 49.7%
Surprised 49.6%
Sad 49.7%
Disgusted 49.6%
Calm 49.7%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Calm 49.8%
Sad 49.7%
Disgusted 49.6%
Happy 49.5%
Confused 49.7%
Surprised 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.4%
Angry 49.6%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Sad 50.3%
Disgusted 49.5%
Calm 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Calm 49.8%
Disgusted 49.5%
Happy 49.7%
Angry 49.6%
Sad 49.7%
Surprised 49.6%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Sad 50%
Calm 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.6%
Surprised 49.6%
Angry 49.8%
Disgusted 49.5%
Confused 49.6%
Happy 49.7%
Calm 49.7%

AWS Rekognition

Age 9-14
Gender Female, 50.5%
Happy 49.5%
Calm 49.6%
Confused 49.6%
Disgusted 50%
Surprised 49.6%
Angry 49.6%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Happy 49.8%
Angry 49.6%
Calm 49.8%
Disgusted 49.6%
Sad 49.7%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Surprised 49.5%
Happy 49.6%
Sad 49.9%
Calm 49.9%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Sad 49.9%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.9%
Confused 49.5%
Happy 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.3%

Categories

Text analysis

Google

PEO LLLES
PEO
LLLES