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.: Geography - Local Industry.
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, 3.2002.125.1

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.: Geography - Local Industry.

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, 3.2002.125.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 99.8
Person 99.8
Military 99.6
Person 99.3
Person 99.3
Military Uniform 99.2
Person 98.7
Person 98.6
Person 98.5
Person 98.3
Person 97.3
Person 97.1
Person 96.8
Armored 96.1
Army 96.1
Person 93.4
Person 92.8
Person 92
Soldier 87.8
Person 87.2
People 85.2
Troop 84.3
Officer 77.7
Person 67.6
Person 62.4

Clarifai
created on 2019-06-05

people 99.9
many 99.8
group together 99.4
group 99.3
adult 98.3
military 98.1
vehicle 97.4
war 95.9
soldier 95.3
cavalry 95.2
man 94.7
crowd 91.2
transportation system 90.8
wear 89.3
several 88.5
skirmish 88.4
administration 87.8
uniform 87.8
leader 86.8
weapon 86.4

Imagga
created on 2019-06-05

private 29.5
landscape 27.5
sky 25.8
travel 24.7
tourism 20.6
military uniform 17.6
uniform 17.4
rural 16.7
animal 15.8
outdoor 15.3
building 15.1
scenic 14.9
outdoors 14.2
city 14.1
architecture 14.1
desert 13.8
summer 13.5
wild 13.1
scenery 12.6
field 12.6
history 12.5
mountain 12.5
park 12.4
country 12.3
sand 12.2
water 12
lake 11.9
horizon 11.7
farm 11.6
tree 11.5
rifle 11.3
grass 11.1
herd 10.8
vacation 10.6
rock 10.4
animals 10.2
vehicle 10
landmark 9.9
sunset 9.9
clothing 9.7
urban 9.6
horse 9.5
people 9.5
cityscape 9.5
military vehicle 9.4
sea 9.4
sunrise 9.4
hill 9.4
clouds 9.3
meadow 9
tower 9
trees 8.9
sun 8.9
military 8.7
ancient 8.7
panorama 8.6
outside 8.6
stone 8.5
weapon 8.5
house 8.4
gun 8.3
environment 8.2
tracked vehicle 8.2
coast 8.1
turbine 8
war 7.8
boat 7.4
mammal 7.3
consumer goods 7.1
covering 7.1
wildlife 7.1
day 7.1

Google
created on 2019-06-05

Troop 58.6
History 57.6
Visual arts 55

Microsoft
created on 2019-06-05

outdoor 100
sky 99.2
person 97.4
clothing 96.2
man 87.8
old 85.5
group 84.1
standing 76.4
people 70.4
posing 49.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Female, 50.2%
Surprised 45.2%
Happy 45.6%
Sad 47.1%
Calm 50.2%
Confused 45.2%
Disgusted 45.5%
Angry 46.4%

AWS Rekognition

Age 35-52
Gender Male, 53.7%
Sad 48%
Disgusted 45.2%
Confused 45.1%
Angry 45.4%
Happy 45.1%
Surprised 45%
Calm 51.2%

AWS Rekognition

Age 35-52
Gender Male, 52.3%
Angry 46.8%
Calm 47.7%
Sad 45.3%
Confused 45.2%
Disgusted 49.5%
Happy 45.3%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 45.1%
Happy 45%
Disgusted 45.1%
Calm 54.7%
Angry 45.1%
Confused 45%
Surprised 45.1%

AWS Rekognition

Age 6-13
Gender Female, 52.1%
Surprised 45.4%
Calm 45.5%
Happy 47%
Sad 47.6%
Confused 45.1%
Angry 49.2%
Disgusted 45.2%

AWS Rekognition

Age 48-68
Gender Male, 50.3%
Angry 49.6%
Happy 49.5%
Surprised 49.5%
Calm 49.8%
Confused 49.5%
Sad 49.9%
Disgusted 49.6%

AWS Rekognition

Age 30-47
Gender Male, 52.2%
Angry 45.3%
Happy 45.6%
Disgusted 45.4%
Confused 45.1%
Surprised 45.2%
Sad 49.8%
Calm 48.7%

AWS Rekognition

Age 48-68
Gender Male, 51%
Sad 46.2%
Happy 46.1%
Surprised 46%
Disgusted 47.1%
Angry 46.5%
Calm 47.5%
Confused 45.7%

AWS Rekognition

Age 15-25
Gender Female, 52.1%
Happy 45.9%
Surprised 46.2%
Calm 48.1%
Angry 45.5%
Confused 45.4%
Sad 45.9%
Disgusted 47.9%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Sad 49.8%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Happy 49.5%
Calm 50%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 53.9%
Disgusted 45.2%
Angry 45.3%
Sad 49.2%
Surprised 45.3%
Happy 45.8%
Calm 49%
Confused 45.2%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 51.8%
Calm 46.5%
Sad 50.9%
Disgusted 45.3%
Happy 45.8%
Surprised 45.4%
Angry 45.6%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Happy 49.6%
Angry 49.7%
Calm 49.8%
Sad 49.6%
Disgusted 49.8%

AWS Rekognition

Age 45-65
Gender Male, 50.1%
Happy 49.7%
Surprised 49.6%
Angry 49.7%
Sad 49.8%
Confused 49.6%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 14-23
Gender Male, 50.4%
Confused 49.5%
Calm 50%
Angry 49.5%
Sad 49.6%
Happy 49.5%
Disgusted 49.8%
Surprised 49.5%

AWS Rekognition

Age 14-23
Gender Male, 50.5%
Confused 46.2%
Disgusted 45.1%
Calm 49.7%
Angry 45.2%
Happy 47.5%
Surprised 45.5%
Sad 45.7%

Feature analysis

Amazon

Person 99.8%

Categories

Imagga

nature landscape 90.3%
streetview architecture 9.3%