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, 3.2002.2440.2

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, 3.2002.2440.2

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Person 99.7
Human 99.7
Person 99.6
Person 99.5
Person 99.3
Person 99.2
Person 99.2
Person 99.2
Person 99
Apparel 98.6
Clothing 98.6
Shoe 98.6
Footwear 98.6
Military 98.5
Military Uniform 98.4
Person 97
People 95.9
Person 94.1
Person 93.4
Shoe 89.7
Shoe 89.6
Armored 87.5
Army 87.5
Troop 87.4
Shoe 86.6
Officer 82.6
Shoe 77.4
Soldier 76.3
Shoe 74.2
Costume 72.6
Leisure Activities 68
Musical Instrument 68
Guitar 68
Shoe 57.3
Team 57.2
Police 56.2
Musician 55.9
Guitar 52.2

Clarifai
created on 2019-06-04

people 99.9
many 99
group 98.9
group together 98.8
adult 98.1
woman 95.6
child 95.1
administration 94.9
man 94.4
leader 93.5
military 93.1
wear 91.4
several 91.2
war 90.1
uniform 89.6
outfit 88.4
boy 87.6
education 86.9
music 86.2
soldier 84.9

Imagga
created on 2019-06-04

helmet 48.7
brass 42.7
uniform 36.7
military uniform 36.6
wind instrument 33.9
armor plate 30.2
clothing 27.6
musical instrument 26.9
trombone 25.1
people 23.9
man 23.5
male 21.2
men 18.9
person 17.8
plate 17.2
consumer goods 15.5
military 15.4
adult 15
group 14.5
war 13.4
team 13.4
sport 13.3
silhouette 13.2
shield 12.1
soldier 10.7
army 10.7
kin 10.4
portrait 10.3
human 9.7
run 9.6
weapon 9.6
protection 9.1
business 8.5
travel 8.4
black 8.4
gun 8.3
dark 8.3
action 8.3
danger 8.2
industrial 8.2
history 8
women 7.9
conflict 7.8
outdoor 7.6
walking 7.6
holding 7.4
commodity 7.3
competition 7.3
dirty 7.2
active 7.2
businessman 7
happiness 7

Google
created on 2019-06-04

Musical instrument 88
Brass instrument 76.7
Musician 70.9
Uniform 66.5
Musical ensemble 59.9
Music 59.4
Wind instrument 56.6
Saxhorn 54.2
Team 52.3

Microsoft
created on 2019-06-04

person 99.9
outdoor 98.4
military uniform 95.8
clothing 95
group 91.3
musical instrument 85.1
posing 83
people 74.7
man 66.1
footwear 61.4

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 30-47
Gender Male, 54%
Confused 45.4%
Angry 45.8%
Surprised 45.2%
Sad 51.7%
Disgusted 46.1%
Calm 45.5%
Happy 45.4%

AWS Rekognition

Age 35-52
Gender Male, 54.7%
Confused 45.2%
Calm 51.8%
Angry 46.5%
Sad 45.9%
Happy 45.1%
Disgusted 45.3%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Calm 52.6%
Surprised 45.1%
Disgusted 45.1%
Confused 45.2%
Happy 45.2%
Angry 45.2%
Sad 46.6%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Surprised 45%
Calm 45.2%
Happy 45%
Sad 45.8%
Angry 53.8%
Confused 45.1%
Disgusted 45%

AWS Rekognition

Age 23-38
Gender Male, 53.5%
Disgusted 45.2%
Confused 45.3%
Angry 45.2%
Calm 48.8%
Surprised 45.2%
Happy 45.4%
Sad 49.9%

AWS Rekognition

Age 26-44
Gender Male, 55%
Confused 45.3%
Calm 51.3%
Angry 45.1%
Sad 47.9%
Happy 45.1%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 29-45
Gender Male, 54.1%
Angry 49.3%
Happy 45.1%
Surprised 45.2%
Calm 46.3%
Confused 45.6%
Sad 48.3%
Disgusted 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.8%
Happy 45.4%
Disgusted 47%
Sad 47.4%
Confused 45.4%
Angry 48.9%
Surprised 45.2%
Calm 45.7%

AWS Rekognition

Age 30-47
Gender Male, 54.4%
Angry 45.2%
Calm 46.7%
Sad 45.3%
Disgusted 52.3%
Happy 45.2%
Confused 45.1%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Surprised 45.2%
Happy 45.2%
Confused 45.4%
Sad 47.4%
Calm 51.4%
Disgusted 45.2%
Angry 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Happy 45.1%
Surprised 45.1%
Angry 45.2%
Sad 51.7%
Confused 45.3%
Disgusted 45.2%
Calm 47.3%

Microsoft Cognitive Services

Age 32
Gender Male

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 31
Gender Male

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
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 99.7%
Shoe 98.6%
Guitar 68%

Categories

Imagga

people portraits 97.3%
events parties 1.9%