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, 3.2002.3141.5

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, 3.2002.3141.5

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 99.8
Person 99.8
Person 99.7
Person 99.7
Person 99.4
Person 99.4
Person 98.9
Person 98
Military 95.3
Military Uniform 94.3
Person 93.5
Person 93
Person 90.9
Person 89.5
Person 89.5
Crowd 84.4
Funeral 84
People 80.2
Officer 79.2
Police 74.7
Armored 69
Army 69
Marching 66.7
Troop 55.6
Person 50.9

Clarifai
created on 2019-06-06

people 100
many 99.8
group 99.6
group together 98.3
military 97
adult 96.7
soldier 96.6
cavalry 95.9
crowd 94.7
vehicle 94.4
war 94.1
home 92.8
administration 90.9
man 90.8
child 90.4
print 89.3
campsite 87
skirmish 84.9
wear 83.7
cropland 83.6

Imagga
created on 2019-06-06

snow 86
cemetery 56.2
weather 42.3
gravestone 37
tree 36.7
winter 35.8
landscape 35
memorial 31
stone 30.7
cold 28.4
trees 25.8
frost 25
forest 24.4
structure 23.6
season 23.4
sky 23
old 20.9
scenery 18
scene 17.3
scenic 15.8
park 15.6
snowy 15.6
frozen 15.3
rural 15
vintage 14.1
light 14
ice 13.8
countryside 13.7
grunge 13.6
outdoors 12.7
field 12.6
wood 12.5
fence 12.2
antique 12.1
covered 11.6
outdoor 11.5
country 11.4
architecture 10.9
house 10.9
morning 10.9
history 10.7
fog 10.6
scenics 10.5
texture 10.4
clouds 10.1
city 10
snowing 9.9
picket fence 9.8
retro 9.8
frosty 9.8
freeze 9.7
ancient 9.5
grass 9.5
building 9.5
road 9
black 9
pattern 8.9
textured 8.8
seasonal 8.8
rock 8.7
water 8.7
aging 8.6
holiday 8.6
grungy 8.5
town 8.4
mountains 8.3
peaceful 8.2
branch 8.2
rough 8.2
sun 8.1
sunlight 8
mountain 8
cool 8
snowfall 7.9
chilly 7.9
day 7.9
paper 7.8
barrier 7.8
nobody 7.8
sepia 7.8
travel 7.7
empty 7.7
storm 7.7
woods 7.6
garden 7.5
frame 7.5
fall 7.2

Google
created on 2019-06-06

Photograph 95.9
Snapshot 82
Tree 74.7
Crowd 71.5
Photography 67.8
History 62.6
Stock photography 62.1
Paper product 55.7
Uniform 52.8
Troop 51.3
Vintage clothing 50.7
Illustration 50.4
Art 50.2

Microsoft
created on 2019-06-06

outdoor 99.8
tree 99.5
person 91.6
clothing 86.9
old 83.4
white 80.9
standing 80.7
black 80.4
people 80.2
man 66.4
crowd 21.8

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 27-44
Gender Female, 52.7%
Happy 45.5%
Calm 48.1%
Sad 47.3%
Surprised 45.9%
Angry 46.4%
Confused 45.4%
Disgusted 46.4%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Angry 50.3%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 10-15
Gender Male, 53.8%
Angry 45.6%
Calm 47.4%
Surprised 45.3%
Sad 50.4%
Disgusted 45.3%
Happy 45.5%
Confused 45.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Calm 45.7%
Disgusted 45.6%
Happy 46.4%
Confused 45.4%
Surprised 45.5%
Sad 47.9%
Angry 48.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Sad 50.1%
Angry 49.6%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Sad 49.7%
Confused 49.6%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Disgusted 49.9%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Angry 49.9%
Disgusted 49.8%
Confused 49.6%
Calm 49.6%
Happy 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 35-53
Gender Male, 50.4%
Disgusted 49.7%
Calm 49.6%
Confused 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%
Sad 49.9%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Angry 49.7%
Surprised 49.5%
Disgusted 49.8%
Sad 49.7%
Happy 49.5%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%
Happy 49.5%
Calm 50.4%

AWS Rekognition

Age 15-25
Gender Female, 50.3%
Sad 49.9%
Calm 49.8%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.1%
Angry 49.5%
Sad 50.3%
Disgusted 49.6%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Happy 49.5%
Sad 50.3%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-44
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.6%
Angry 49.6%
Confused 49.5%
Calm 49.6%
Surprised 49.5%
Sad 50.2%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Calm 49.5%
Happy 49.5%
Sad 49.8%
Angry 49.6%
Disgusted 49.9%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Sad 49.6%
Surprised 49.6%
Confused 49.5%
Angry 50%
Happy 49.5%
Calm 49.7%
Disgusted 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person
Person 99.8%
Person 99.7%
Person 99.7%
Person 99.4%
Person 99.4%
Person 98.9%
Person 98%
Person 93.5%
Person 93%
Person 90.9%
Person 89.5%
Person 89.5%
Person 50.9%