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.: Arithmetic Class measuring brick.

Date

1899-1900

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Classification

Photographs

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.: Arithmetic Class measuring brick.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1899-1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.3
Human 99.3
Person 99.2
Person 99.1
Person 99.1
Person 98.9
Person 98.9
Person 98.6
Military 98.1
Military Uniform 98
Person 97.8
Person 97.5
Person 95.5
People 94.4
Army 91.7
Armored 91.7
Soldier 84.9
Person 81.1
Person 74.6
Officer 68.1
Troop 63.9
Team 57.4
Fireman 56

Clarifai

people 100
many 99.3
group together 99.1
adult 99
group 98.9
military 98.3
war 96.7
administration 96.1
soldier 95.3
uniform 95.2
man 94.7
leader 94.3
several 93.9
wear 92.7
home 92
outfit 91.7
woman 90.5
weapon 89
child 87.6
gun 85.2

Imagga

uniform 55
military uniform 50.6
clothing 40.2
rifle 32.9
gun 30.7
military 29
man 28.9
weapon 28.7
soldier 26.4
male 24.1
war 23.2
firearm 21.9
helmet 21.1
consumer goods 20.4
statue 20.2
danger 20
army 18.5
people 18.4
covering 17.9
person 16.5
adult 15.6
protection 15.5
city 15
camouflage 14.7
old 14.6
wind instrument 14.6
sculpture 14.3
mask 14.2
musical instrument 14
outdoor 13.8
travel 12.7
brass 12.7
history 12.5
monument 12.1
armor plate 11.8
battle 11.7
architecture 11.7
two 11
historic 11
toxic 10.7
holding 10.7
outdoors 10.4
street 10.1
commodity 10.1
sport 9.9
combat 9.8
radioactive 9.8
radiation 9.8
warrior 9.8
human 9.7
protective 9.7
chemical 9.6
gas 9.6
building 9.5
ancient 9.5
men 9.4
culture 9.4
art 9.1
industrial 9.1
dirty 9
landmark 9
warfare 8.9
target 8.7
urban 8.7
nuclear 8.7
stone 8.4
portrait 8.4
tourist 8.4
dark 8.3
tourism 8.2
equipment 8.1
game 8
stalker 7.9
conflict 7.8
destruction 7.8
accident 7.8
bronze 7.8
fight 7.7
walking 7.6
traditional 7.5
leisure 7.5
vintage 7.4
training 7.4
suit 7.2
recreation 7.2
religion 7.2
activity 7.2
to 7.1

Microsoft

outdoor 99.1
clothing 97.7
ground 95.8
old 94.9
person 94.7
group 87
man 86.8
people 81.6
standing 75.5
white 70.4
firefighter 57.8
posing 46.6
clothes 30.5

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.3%
Surprised 45.1%
Sad 45.5%
Angry 45.4%
Happy 45.2%
Confused 45.2%
Disgusted 53.1%
Calm 45.5%

AWS Rekognition

Age 23-38
Gender Female, 51.8%
Sad 45.2%
Calm 49.2%
Angry 45.6%
Disgusted 49.1%
Surprised 45.3%
Confused 45.1%
Happy 45.4%

AWS Rekognition

Age 35-52
Gender Female, 52.2%
Angry 45.5%
Sad 46.1%
Disgusted 46%
Calm 51.8%
Surprised 45.3%
Confused 45.1%
Happy 45.3%

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Happy 45.5%
Angry 45.2%
Calm 47.9%
Confused 45.2%
Disgusted 46.3%
Surprised 45.1%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50%
Angry 45.4%
Sad 45.9%
Disgusted 45.4%
Happy 45.4%
Confused 45.2%
Calm 52.2%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Surprised 45.2%
Angry 45.5%
Disgusted 45.2%
Happy 45.5%
Calm 46.9%
Sad 51.7%
Confused 45.1%

AWS Rekognition

Age 15-25
Gender Female, 53.5%
Sad 46.1%
Happy 47.6%
Confused 45.7%
Disgusted 46.1%
Calm 46.4%
Angry 47.2%
Surprised 45.9%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Happy 46.5%
Disgusted 45.7%
Confused 45.6%
Surprised 45.6%
Sad 47.2%
Angry 45.8%
Calm 48.6%

AWS Rekognition

Age 10-15
Gender Male, 54.3%
Calm 53.1%
Confused 45.2%
Disgusted 45.3%
Angry 45.2%
Happy 45.1%
Surprised 45.2%
Sad 45.8%

AWS Rekognition

Age 26-43
Gender Female, 52.1%
Angry 45.2%
Calm 51.1%
Surprised 45.2%
Disgusted 47.8%
Happy 45.4%
Sad 45.2%
Confused 45.1%

AWS Rekognition

Age 19-36
Gender Female, 51.1%
Surprised 45.4%
Confused 45.2%
Happy 45.3%
Calm 47.2%
Disgusted 45.5%
Sad 46.1%
Angry 50.2%

AWS Rekognition

Age 35-53
Gender Female, 52.8%
Calm 49.2%
Disgusted 45.5%
Confused 45.4%
Happy 45.3%
Angry 46.1%
Sad 48.1%
Surprised 45.3%

AWS Rekognition

Age 38-59
Gender Female, 50.5%
Sad 45.4%
Disgusted 45.7%
Calm 53.1%
Confused 45.1%
Angry 45.3%
Surprised 45.2%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Male, 52%
Angry 45.6%
Calm 49.9%
Surprised 45.3%
Disgusted 45.6%
Happy 45.1%
Sad 48.2%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 51.8%
Surprised 45.2%
Disgusted 45.4%
Sad 46.6%
Calm 51.3%
Happy 46.1%
Confused 45.2%
Angry 45.3%

AWS Rekognition

Age 15-25
Gender Female, 54.8%
Happy 46.2%
Sad 45.6%
Surprised 45.7%
Angry 45.5%
Calm 50.8%
Disgusted 45.3%
Confused 45.9%

AWS Rekognition

Age 20-38
Gender Female, 53.5%
Angry 45.3%
Surprised 45.3%
Happy 45.2%
Disgusted 45.2%
Sad 45.7%
Confused 46.1%
Calm 52.3%

Feature analysis

Amazon

Person 99.3%

Captions

Microsoft

a vintage photo of a group of people standing in front of a building 95.5%
a group of people standing in front of a building 95.4%
a vintage photo of a group of people posing for the camera 94.1%

Text analysis

Google

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