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, 3.2002.3141.1

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, 3.2002.3141.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.4
Human 99.4
Person 99.1
Person 99.1
Person 99.1
Person 98.9
Person 98.8
Person 98.5
Person 97.8
Person 94.7
Person 94.5
Person 92.7
People 91.3
Military 90.3
Person 87.5
Person 87.4
Military Uniform 87
Clothing 86.3
Apparel 86.3
Person 86.2
Crowd 78.1
Army 75.3
Armored 75.3
Transportation 73.1
Vehicle 72.1
Person 70.8
Soldier 69.2
Person 66
Person 65.9
Officer 65.9
Person 63.3
Troop 58.8
Shorts 58.4
Bike 58
Bicycle 58
Team 55.4
Marching 55.2

Clarifai
created on 2019-06-06

people 99.9
many 99.6
group 98.9
group together 98.7
military 98.5
soldier 97.8
adult 97.6
man 96.3
crowd 95.6
war 94.4
wear 91.9
leader 91.2
cavalry 90.5
uniform 88.3
administration 88
outfit 86.3
army 86.2
skirmish 81.9
military uniform 81.6
home 80.9

Imagga
created on 2019-06-06

picket fence 65.4
fence 60.3
cemetery 51.6
barrier 40
tree 34.7
grass 34
landscape 33.5
trees 28.5
obstruction 26.7
field 26
sky 24.4
rural 23.8
structure 23.2
country 22
scenic 20.2
countryside 20.1
farm 19.6
forest 17.4
summer 16.7
park 15.7
outdoors 15.1
land 13.9
gravestone 13.8
memorial 13
cloud 12.9
clouds 12.7
scenery 12.6
wood 12.5
season 12.5
outdoor 12.2
snow 11.5
plant 11.5
sun 11.3
stone 11.3
weather 11.2
spring 11
horizon 10.8
meadow 10.8
scene 10.4
sunny 10.3
winter 10.2
environment 9.9
mountain 9.8
autumn 9.7
agriculture 9.7
leaves 9.6
natural 9.4
yellow 9.3
farmland 8.7
cold 8.6
leaf 8.6
lawn 8.5
travel 8.5
old 8.4
plants 8.4
building 8.3
morning 8.1
foggy 7.9
village 7.7
england 7.6
farming 7.6
path 7.6
light 7.4
fall 7.2
road 7.2
recreation 7.2
architecture 7

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

tree 100
outdoor 99.8
person 91.9
white 78.2
people 74.4
black 69.4
sky 59.3
group 58.8
old 56.1
crowd 0.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 49.7%
Surprised 49.5%
Sad 50.1%
Confused 49.5%
Calm 49.6%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Angry 49.6%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.9%
Surprised 49.5%
Sad 49.9%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Calm 49.7%
Surprised 49.5%
Happy 49.5%
Angry 50%
Confused 49.5%
Sad 49.7%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Confused 49.6%
Surprised 49.5%
Angry 49.7%
Happy 49.6%
Sad 49.9%
Calm 49.6%
Disgusted 49.7%

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.3%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Surprised 49.5%
Angry 49.7%
Sad 49.9%
Happy 49.5%
Disgusted 49.5%
Calm 49.7%
Confused 49.5%

AWS Rekognition

Age 30-47
Gender Male, 50.4%
Angry 50.1%
Happy 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Disgusted 49.5%
Calm 49.8%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Angry 49.6%
Sad 50%

AWS Rekognition

Age 35-52
Gender Male, 50%
Angry 49.9%
Surprised 49.6%
Disgusted 49.6%
Sad 49.6%
Happy 49.6%
Confused 49.6%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Angry 49.9%
Calm 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Calm 50.1%
Disgusted 49.5%
Confused 49.5%
Sad 49.8%
Angry 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50%
Surprised 49.5%
Calm 49.5%
Happy 49.5%
Angry 50.5%
Sad 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Angry 49.6%
Calm 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 49.6%
Happy 49.8%
Confused 49.6%

AWS Rekognition

Age 4-9
Gender Male, 50.3%
Happy 49.5%
Sad 50.2%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.6%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 49.7%
Surprised 49.5%
Disgusted 49.7%
Calm 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.5%

Feature analysis

Amazon

Person 99.4%

Categories