Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro: Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: History Class at Fortress Monroe.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.125.2

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro: Development of Social Standards Among the Negroes. Hampton Normal and Agricultural Institute, Hampton, Va.: History Class at Fortress Monroe.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.125.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.2
Human 99.2
Person 98.8
Person 98.7
Person 97.8
Person 96.8
Person 96.7
Weaponry 96.2
Weapon 96.2
Person 96.1
Person 96
Bomb 93.5
Person 92.5
Person 89.2
Airplane 88.8
Transportation 88.8
Aircraft 88.8
Vehicle 88.8
Torpedo 75.6
Person 75.2
Person 74.5
Helicopter 68.7

Clarifai
created on 2019-06-05

people 99.9
adult 99.2
vehicle 99.1
group together 99
military 98.9
group 98.3
war 97.4
aircraft 96.7
many 96.5
soldier 96.4
man 96.2
transportation system 93.8
skirmish 91.2
weapon 91
several 90.8
one 90.5
leader 89
wear 87.2
gun 87.1
uniform 86.6

Imagga
created on 2019-06-05

vehicle 84.2
military vehicle 61.7
tracked vehicle 60.8
half track 49.3
artillery 46.3
cannon 41.7
field artillery 36.3
tank 35
weaponry 34.7
conveyance 31.5
wheeled vehicle 31.1
armament 30
gun 27
tractor 25.2
machine 23.8
farm 23.2
sky 23
field 21.8
armored vehicle 21.4
rural 21.2
weapon 20.2
landscape 20.1
grass 19.8
transportation 19.7
high-angle gun 19
gunnery 19
agriculture 18.4
industry 17.1
wheel 16
old 15.3
land 14.8
car 14.8
summer 14.2
equipment 13.9
machinery 13.6
dirt 13.4
farming 13.3
country 13.2
outdoor 13
transport 12.8
industrial 12.7
power 12.6
work 12.6
military 12.6
desert 12.1
countryside 11.9
farmer 11.8
tree 11.5
harvest 11.3
meadow 10.8
army 10.7
war 10.7
track 10.6
scenic 10.5
hay 10.4
drive 10.4
hill 10.3
tire 10.1
horizon 9.9
truck 9.8
dust 9.8
outdoors 9.7
auto 9.6
crop 9.4
danger 9.1
road 9
autumn 8.8
farmland 8.7
scene 8.7
cloud 8.6
heavy 8.6
mountain 8
battle 7.8
feed 7.8
travel 7.8
construction 7.7
automobile 7.7
clouds 7.6
sport 7.4
environment 7.4
grain 7.4
history 7.2
male 7.1

Google
created on 2019-06-05

Vehicle 80.1
Airplane 66.1
Aircraft 60.4
Aviation 51.2

Microsoft
created on 2019-06-05

grass 95.9
person 91.9
outdoor 87.5
clothing 82.5
man 72.7
group 69.3
old 69.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-63
Gender Male, 53.8%
Disgusted 45.3%
Calm 49.6%
Surprised 45.2%
Angry 45.4%
Sad 49%
Confused 45.2%
Happy 45.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50%
Calm 49.7%
Disgusted 49.6%
Confused 49.6%
Happy 49.7%
Angry 49.6%
Surprised 49.6%
Sad 49.8%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Happy 49.5%
Disgusted 49.8%
Angry 49.5%
Surprised 49.5%
Calm 49.6%
Sad 50.1%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Confused 49.6%
Calm 49.9%
Happy 49.6%
Surprised 49.6%
Sad 49.7%
Angry 49.5%
Disgusted 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Happy 49.6%
Disgusted 49.6%
Sad 49.8%
Confused 49.6%
Angry 49.7%
Surprised 49.6%
Calm 49.6%

Feature analysis

Amazon

Person 99.2%
Airplane 88.8%
Helicopter 68.7%

Categories