Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Hampton Normal and Agricultural Institute, Hampton, Va.: Musical Organizations.
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, 3.2002.2440.1

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Agencies Promoting Assimilation of the Negro. Hampton Normal and Agricultural Institute, Hampton, Va.: Musical Organizations.

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, 3.2002.2440.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 99.8
Human 99.8
Person 99.4
Person 99.3
Person 99.1
Person 98.9
Person 98.5
Person 98.4
Military 96
Military Uniform 95.7
People 91.3
Musician 90.5
Musical Instrument 90.5
Crowd 89.6
Person 88.8
Army 85.7
Armored 85.7
Person 83.7
Troop 78.8
Marching 78.1
Person 77.2
Soldier 76
Person 76
Person 73.4
Officer 71.4
Music Band 68.8
Person 67.5
Person 61.3
Clothing 61.2
Apparel 61.2
Brass Section 60
Footwear 58.2
Shoe 58.2
Person 52.3

Clarifai
created on 2019-06-04

people 100
group together 99.8
group 99.3
many 99.3
adult 99.1
military 98.5
soldier 97.8
uniform 97.8
administration 96.1
man 96
war 95.8
military uniform 95.3
outfit 95.3
wear 94.1
several 93.4
leader 93.3
vehicle 92.4
woman 86.3
skirmish 83.1
weapon 82.1

Imagga
created on 2019-06-04

uniform 32
military uniform 29.3
clothing 25.1
gun 24.9
rifle 21.5
military 21.2
man 20.8
soldier 20.5
weapon 17.6
helmet 17.6
city 17.4
war 16.4
old 16
statue 15.2
male 14.9
firearm 14.8
army 14.6
monument 14
building 13.1
person 13
protection 12.7
sculpture 12.6
history 12.5
people 12.3
consumer goods 11.9
musical instrument 11.8
brass 11.7
architecture 11.7
urban 11.3
private 11.3
industrial 10.9
battle 10.7
wind instrument 10.6
covering 10.6
travel 10.5
historical 10.3
danger 10
industry 9.4
sport 9.1
dirty 9
landmark 9
equipment 8.9
life 8.9
camouflage 8.8
warrior 8.8
art 8.5
business 8.5
portrait 8.4
power 8.4
armor plate 8.4
vintage 8.3
sax 8.2
historic 8.2
tourism 8.2
suit 8.1
activity 8.1
adult 7.8
conflict 7.8
machine 7.8
nuclear 7.7
outdoor 7.6
memorial 7.2
room 7.2
transportation 7.2
to 7.1
work 7.1

Google
created on 2019-06-04

Drum 80.7
Musical instrument 71.7
Crew 70.4
Team 59.4
Davul 55.6

Microsoft
created on 2019-06-04

building 99.5
person 98
outdoor 95.8
clothing 92.3
military uniform 87.5
group 82
army 75.5
musical instrument 74.3
military 73.7
man 70.4
people 68.8
posing 65.1
old 50.3

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 23-38
Gender Male, 54.9%
Calm 52.9%
Sad 45.7%
Happy 45.5%
Angry 45.3%
Disgusted 45.2%
Confused 45.3%
Surprised 45.1%

AWS Rekognition

Age 11-18
Gender Male, 53.9%
Sad 45%
Disgusted 45.1%
Surprised 45.1%
Happy 45%
Confused 45%
Angry 45%
Calm 54.7%

AWS Rekognition

Age 26-44
Gender Male, 51.5%
Sad 45.3%
Surprised 45.1%
Calm 53.8%
Happy 45.3%
Disgusted 45.3%
Confused 45.1%
Angry 45.2%

AWS Rekognition

Age 35-52
Gender Female, 51.8%
Confused 45%
Calm 54.8%
Disgusted 45.1%
Happy 45%
Angry 45%
Sad 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Disgusted 45.4%
Angry 45.1%
Sad 45.1%
Surprised 45.1%
Happy 45.1%
Calm 54.1%
Confused 45.2%

AWS Rekognition

Age 23-38
Gender Male, 53.3%
Calm 53.8%
Confused 45.1%
Happy 45.1%
Sad 45.6%
Surprised 45.1%
Disgusted 45.1%
Angry 45.1%

AWS Rekognition

Age 20-38
Gender Male, 54.6%
Happy 45%
Angry 45.2%
Disgusted 45.4%
Confused 45.1%
Sad 45.1%
Calm 54.2%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Angry 45.1%
Calm 54.3%
Disgusted 45.5%
Happy 45%
Surprised 45.1%
Sad 45%
Confused 45%

AWS Rekognition

Age 45-65
Gender Male, 54.6%
Calm 54%
Disgusted 45.3%
Confused 45.1%
Angry 45.2%
Happy 45.1%
Sad 45.2%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Angry 45.1%
Happy 45%
Disgusted 45.1%
Confused 45%
Surprised 45%
Sad 45%
Calm 54.8%

AWS Rekognition

Age 16-27
Gender Male, 53.8%
Happy 45%
Calm 53.2%
Confused 45.1%
Disgusted 45.4%
Surprised 45.2%
Angry 45.3%
Sad 45.7%

AWS Rekognition

Age 23-38
Gender Male, 53.2%
Angry 45%
Disgusted 45.1%
Confused 45%
Calm 54.6%
Happy 45.1%
Surprised 45%
Sad 45.1%

AWS Rekognition

Age 19-36
Gender Male, 54.5%
Sad 45.3%
Confused 45.3%
Calm 48.1%
Disgusted 50.3%
Happy 45.1%
Angry 45.6%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 51.8%
Disgusted 46%
Angry 45.2%
Sad 46.4%
Happy 45.3%
Confused 45.2%
Surprised 45.2%

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Microsoft Cognitive Services

Age 35
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Microsoft Cognitive Services

Age 29
Gender Male

Microsoft Cognitive Services

Age 30
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 99.8%
Shoe 58.2%

Categories

Imagga

interior objects 95.4%
streetview architecture 3.6%