Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Association of Neighborhood Workers": Arts and Festival Committee: Association of Neighborhood Workers of New York. Arts and Festivals Committee

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, 3.2002.3139.1

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Association of Neighborhood Workers": Arts and Festival Committee: Association of Neighborhood Workers of New York. Arts and Festivals Committee

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, 3.2002.3139.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 98.8
Person 98.8
Person 98.8
Person 98.2
Person 98.1
Person 97.9
Person 96.5
Person 94.9
Clothing 93.8
Apparel 93.8
Crowd 86.6
Person 83.4
People 82.7
Person 78.2
Person 72.7
Military 69.6
Military Uniform 67.3
Person 64.5
Female 61.2
Officer 59.6
Girl 57.7
Outdoors 56.8
Sailor Suit 55.2
Person 44.2

Clarifai
created on 2019-06-06

people 100
many 99.7
group 99.3
group together 97.9
adult 97.7
child 94.9
man 94.4
woman 92.9
wear 92.8
crowd 91.5
veil 91.2
military 90.1
outfit 87.8
several 84
administration 83.2
home 83.1
furniture 80.9
uniform 79.3
leader 79.1
recreation 78.8

Imagga
created on 2019-06-06

umbrella 56.6
canopy 46
shelter 44.4
landscape 26.8
rural 23.8
sky 23.6
protective covering 23.2
farm 20.5
canvas tent 20.3
tree 19.5
outdoors 17.9
mountain 17.8
structure 16.1
field 15.9
tent 15.6
memorial 15.3
grass 14.2
trees 14.2
summer 14.1
mountains 13.9
travel 13.4
farming 13.3
countryside 12.8
rubbish 12.5
agriculture 12.3
outdoor 12.2
mountain tent 12.2
forest 12.2
snow 11.9
gravestone 11.7
covering 11.6
animal 11.6
natural 11.4
outside 11.1
stone 11.1
container 10.9
animals 10.2
clouds 10.1
lake 10.1
tourism 9.9
meadow 9.9
plastic bag 9.7
country 9.7
scenic 9.7
winter 9.4
water 9.3
house 9.2
park 9.1
wild 8.7
sunny 8.6
holiday 8.6
livestock 8.4
peaceful 8.2
sun 8
sheep 7.9
sea 7.8
architecture 7.8
scene 7.8
hills 7.8
old 7.7
megalith 7.5
bag 7.5
hill 7.5
plant 7.5
vacation 7.4
brown 7.4
island 7.3
cow 7.1
season 7

Google
created on 2019-06-06

Photograph 96.7
People 93.4
Snapshot 85.6
Stock photography 70.9
Photography 70.6
Vintage clothing 67.8
Adaptation 67
Room 65.7
Child 57.3
Family 51.8
Art 50.2

Microsoft
created on 2019-06-06

tree 99.5
outdoor 99.4
person 96.6
white 94.7
clothing 94.2
black 85.8
group 85.1
dress 84.1
people 80.4
wedding dress 80.1
woman 69.8
old 67.1
man 63.9
bride 62.9
dance 58.9
posing 52.1
crowd 32.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-55
Gender Male, 50.4%
Confused 49.5%
Disgusted 49.5%
Sad 50.1%
Angry 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.9%
Sad 49.7%
Confused 49.5%
Calm 49.7%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Sad 49.7%
Angry 49.6%
Happy 49.6%
Disgusted 49.7%
Calm 49.8%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 30-47
Gender Female, 53.9%
Calm 45.1%
Happy 47.7%
Sad 50.8%
Angry 45.3%
Disgusted 45.8%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Sad 49.7%
Surprised 49.5%
Calm 50.2%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Angry 49.6%
Calm 49.8%
Confused 49.5%
Happy 49.6%
Sad 49.8%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Disgusted 49.6%
Surprised 49.5%
Sad 49.6%
Angry 49.6%
Happy 49.7%
Confused 49.5%
Calm 50%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 50%
Angry 49.6%
Confused 49.5%
Happy 49.7%
Disgusted 49.6%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.2%
Angry 49.6%
Calm 50.1%
Sad 49.5%
Surprised 49.5%
Disgusted 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.5%
Sad 50.3%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Sad 49.7%
Confused 49.5%
Calm 50.1%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Calm 49.5%
Sad 49.6%
Surprised 49.5%
Angry 50%
Happy 49.6%
Confused 49.5%
Disgusted 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Angry 49.8%
Calm 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 49.7%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.3%
Calm 50.3%
Happy 49.6%
Sad 49.5%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Angry 50.1%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

Age 10-15
Gender Male, 50.1%
Angry 49.5%
Surprised 49.5%
Sad 50.3%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%
Happy 49.5%

Feature analysis

Amazon

Person 98.8%

Categories