Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: "Setting up drill."
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, 3.2002.3191.2

Human Generated Data

Title

Social Settlements: United States. New York. New York City. "Nurses Settlement": The Nurses Settlement, New York City.: "Setting up drill."

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, 3.2002.3191.2

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Person 99.7
Human 99.7
Person 99.4
Person 99.3
Person 98.6
Person 98.6
Person 97.6
Person 96.9
Person 96.6
Person 96
Person 93.9
Person 93.1
Person 93.1
Person 93
Person 92.9
Outdoors 88.4
Nature 87.4
Person 86.1
Text 77.6
Transportation 72.8
Vehicle 72.1
Military 71.4
Military Uniform 71.4
People 67.2
Building 60.5
Person 60.3
Land 59.2
Apparel 55.8
Clothing 55.8

Clarifai
created on 2019-06-06

people 99.9
many 99.4
group together 98.4
group 98.1
military 97.3
adult 96.2
war 95.1
man 91.5
administration 90.9
soldier 86.8
several 86.6
vehicle 85.3
leader 84.7
crowd 79.5
aircraft 79
wear 78.8
police 73.2
woman 72.7
uniform 72.5
skirmish 70

Imagga
created on 2019-06-06

beach 18.9
sky 18.5
sand 17.9
travel 17.6
sea 17.2
landscape 17.1
horse 14.8
vacation 14.7
tourism 14
summer 13.5
water 13.3
mountain 12.6
coast 12.6
ocean 12.4
man 12.1
grass 11.9
horizon 11.7
horse cart 11.6
outdoor 11.5
animal 11.4
old 11.1
sunset 10.8
transportation 10.8
people 10.6
seller 10.5
newspaper 10.4
wheeled vehicle 9.6
fishing 9.6
tourist 9.6
cart 9.5
desert 9.3
outdoors 9.3
holiday 9.3
boat 9.3
plow 9.3
male 9.2
field 9.2
history 8.9
farm 8.9
sun 8.9
military 8.7
rifle 8.7
vehicle 8.6
tree 8.5
hill 8.4
gun 8.4
leisure 8.3
lake 8.2
resort 8.2
wagon 8.2
industrial 8.2
umbrella 8.1
product 7.9
rural 7.9
rock 7.8
clouds 7.6
house 7.5
sunrise 7.5
uniform 7.5
evening 7.5
silhouette 7.4
sport 7.3
island 7.3
pedestrian 7.3
danger 7.3
tool 7.3
morning 7.2
sunlight 7.1
weapon 7.1

Google
created on 2019-06-06

Photograph 95.1
History 54.1
Paper product 50.3

Microsoft
created on 2019-06-06

outdoor 98.3
person 92.7
old 86.8
handwriting 86.2
clothing 79.7
group 63
people 58.8
vintage 42.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Confused 45.4%
Disgusted 48.4%
Sad 48.3%
Angry 45.4%
Surprised 45.2%
Happy 45.9%
Calm 46.3%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Angry 45.4%
Surprised 45.2%
Disgusted 45.7%
Sad 46.5%
Happy 50.8%
Confused 45.8%
Calm 45.6%

AWS Rekognition

Age 26-43
Gender Male, 52.5%
Sad 53.5%
Confused 45.1%
Surprised 45%
Happy 45%
Angry 45.1%
Disgusted 45%
Calm 46.3%

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Calm 47.5%
Happy 45.3%
Sad 48.9%
Angry 46.8%
Disgusted 45.9%
Confused 45.4%
Surprised 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Calm 49.5%
Sad 49.9%
Happy 49.9%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.6%

AWS Rekognition

Age 15-25
Gender Male, 50.2%
Surprised 49.5%
Disgusted 49.5%
Sad 50.5%
Calm 49.5%
Confused 49.5%
Angry 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 50.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.6%
Calm 49.9%

AWS Rekognition

Age 27-44
Gender Male, 50.4%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Sad 49.8%
Happy 50.1%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 50.2%
Happy 49.6%
Angry 49.5%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Angry 49.8%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%
Calm 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Calm 49.8%
Sad 50%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Sad 49.6%
Confused 49.5%
Calm 49.7%
Disgusted 50%
Angry 49.6%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Disgusted 49.7%
Angry 49.6%
Calm 49.6%
Sad 49.8%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50%
Happy 49.6%
Sad 49.7%
Confused 49.6%
Calm 49.8%
Angry 49.6%
Disgusted 49.7%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.5%
Sad 49.9%
Disgusted 49.5%
Calm 49.6%
Happy 49.5%
Angry 50%
Confused 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Person 99.7%

Categories

Imagga

streetview architecture 92.5%
paintings art 3.4%
beaches seaside 3%

Text analysis

Amazon

drill."
"setling
"setling yp drill."
yp

Google

Setting up drill
Setting
up
drill