Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Hampton Normal and Agricultural Institute, Hampton, Va.: Class of 1906.
Date

c. 1903
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, 3.2002.2432.1

Human Generated Data

Title

Races, Negroes: United States. Virginia. Hampton. Hampton Normal and Industrial School: Hampton Normal and Agricultural Institute, Hampton, Va.: Class of 1906.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2432.1

Machine Generated Data

Tags

Amazon
created on 2019-06-04

Human 99.5
Person 99.5
Person 99.5
Person 99.1
Person 98.9
Person 98.8
Person 98.4
Person 98.1
Person 97.5
Person 97
Person 95.7
Indoors 94.4
School 94.4
Room 94.4
Classroom 94.4
People 86.8
Person 86.3
Person 82.4
Person 80.7
Person 80.5
Person 79.9
Person 77.8
Person 76.2
Person 74.9
Person 72.1
Person 66.7
Apparel 63.2
Footwear 63.2
Shoe 63.2
Clothing 63.2
Kindergarten 62.4
Person 61
Audience 56.5
Crowd 56.5
Person 55.9
Person 52.6
Person 52.2

Clarifai
created on 2019-06-04

people 100
group 99.7
child 99.6
many 99.5
group together 98
adult 96.5
administration 94.6
woman 94.1
education 92.9
boy 92.8
several 90.4
man 90.1
wear 89.7
leader 88.6
school 88.2
family 86.4
war 82.5
son 81.7
elementary school 81.3
military 80.7

Imagga
created on 2019-06-04

kin 100
man 24.8
people 24.5
nurse 24
male 21.3
person 20.3
home 19.9
old 19.5
couple 19.1
senior 18.7
happy 18.2
men 16.3
family 16
group 15.3
adult 14.6
room 14.5
smiling 14.4
portrait 13.6
business 12.7
women 12.6
elderly 12.4
indoors 12.3
happiness 11.7
team 11.6
camera 11.1
aged 10.8
businessman 10.6
30s 10.6
ancient 10.4
sitting 10.3
vintage 9.9
cheerful 9.7
grandfather 9.7
medical 9.7
together 9.6
black 9.6
antique 9.5
day 9.4
mature 9.3
mother 9
to 8.8
interior 8.8
half length 8.8
standing 8.7
enjoying 8.5
two 8.5
inside 8.3
child 8.2
uniform 8.2
worker 8
patient 8
love 7.9
smile 7.8
teacher 7.8
hospital 7.6
monument 7.5
retro 7.4
new 7.3
student 7.2
professional 7.2
history 7.1

Google
created on 2019-06-04

Photograph 96.2
People 95.9
Social group 92.7
Snapshot 83.6
Family 68.1
Room 65.7
State school 61
Vintage clothing 60
History 57.6
Class 55.3
Collection 50

Microsoft
created on 2019-06-04

posing 99.7
clothing 98.8
person 98.4
boy 89.6
smile 89.2
human face 87.2
school 86
group 85.1
toddler 78.7
old 67.2
child 60.7
family 59.4
team 53.7
baby 50.2
crowd 1.3

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Male, 54.1%
Happy 45.7%
Angry 45.4%
Calm 51.2%
Disgusted 46.4%
Sad 45.9%
Confused 45.2%
Surprised 45.2%

AWS Rekognition

Age 16-27
Gender Female, 54.9%
Happy 45.6%
Surprised 45.3%
Angry 45.4%
Sad 49.9%
Confused 45.1%
Calm 48.5%
Disgusted 45.3%

AWS Rekognition

Age 19-36
Gender Female, 51.2%
Confused 45%
Calm 45.2%
Disgusted 45.1%
Happy 45%
Angry 54.4%
Sad 45.2%
Surprised 45%

AWS Rekognition

Age 15-25
Gender Male, 54.7%
Sad 45.8%
Confused 45.2%
Angry 45.3%
Surprised 45.2%
Happy 45.1%
Calm 52.7%
Disgusted 45.7%

AWS Rekognition

Age 11-18
Gender Female, 54.4%
Confused 45.3%
Calm 51.1%
Angry 46.1%
Sad 46.5%
Happy 45.3%
Disgusted 45.4%
Surprised 45.2%

AWS Rekognition

Age 26-44
Gender Male, 54.5%
Calm 48.6%
Surprised 45.2%
Disgusted 45.2%
Confused 45.3%
Sad 47.3%
Happy 45.1%
Angry 48.3%

AWS Rekognition

Age 26-43
Gender Male, 54.4%
Confused 45.1%
Angry 45.2%
Disgusted 45.6%
Surprised 45.2%
Sad 45.4%
Happy 45.2%
Calm 53.5%

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Confused 45.6%
Angry 45.6%
Calm 49.2%
Disgusted 46.2%
Sad 47.9%
Happy 45.2%
Surprised 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Disgusted 45.1%
Confused 45.4%
Happy 45.1%
Calm 47.2%
Surprised 45.1%
Sad 52%
Angry 45.1%

AWS Rekognition

Age 30-47
Gender Male, 54.4%
Confused 45.2%
Disgusted 45%
Happy 45%
Calm 47.1%
Surprised 45.1%
Sad 51.4%
Angry 46.2%

AWS Rekognition

Age 26-43
Gender Male, 50.9%
Disgusted 45%
Confused 45%
Angry 45.1%
Calm 45%
Surprised 45%
Happy 45%
Sad 54.8%

AWS Rekognition

Age 26-43
Gender Male, 53.3%
Surprised 45.1%
Sad 51.7%
Happy 45.2%
Disgusted 45.2%
Confused 45.2%
Calm 45.5%
Angry 47%

AWS Rekognition

Age 15-25
Gender Male, 54.1%
Disgusted 45.3%
Calm 54.2%
Surprised 45.1%
Sad 45.3%
Confused 45.1%
Angry 45.1%
Happy 45.1%

AWS Rekognition

Age 45-63
Gender Female, 51.1%
Sad 46.5%
Disgusted 45.2%
Surprised 45.2%
Happy 45.2%
Confused 45.1%
Angry 46%
Calm 51.7%

AWS Rekognition

Age 35-52
Gender Female, 51.9%
Disgusted 49.4%
Calm 46.4%
Surprised 45.2%
Angry 46.7%
Sad 46.9%
Confused 45.2%
Happy 45.3%

AWS Rekognition

Age 35-52
Gender Male, 53.9%
Happy 45.1%
Surprised 45.2%
Angry 50.4%
Sad 45.6%
Confused 45.1%
Calm 48.2%
Disgusted 45.4%

AWS Rekognition

Age 4-9
Gender Female, 54.5%
Happy 45.1%
Disgusted 45%
Sad 54.7%
Confused 45%
Angry 45%
Surprised 45%
Calm 45.1%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Calm 50.3%
Confused 45.4%
Sad 47.1%
Angry 46.5%
Happy 45.2%
Disgusted 45.3%
Surprised 45.2%

AWS Rekognition

Age 15-25
Gender Female, 54.8%
Happy 45.1%
Angry 45.4%
Disgusted 45.2%
Confused 45.1%
Sad 46.6%
Calm 52.4%
Surprised 45.1%

AWS Rekognition

Age 45-63
Gender Male, 54.5%
Disgusted 46%
Angry 46.3%
Sad 50.2%
Surprised 45.2%
Happy 45.2%
Calm 46.7%
Confused 45.4%

AWS Rekognition

Age 14-25
Gender Female, 51.3%
Angry 45.2%
Calm 45.2%
Disgusted 45.1%
Happy 45.1%
Surprised 45.2%
Sad 54%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Sad 45.6%
Confused 45.1%
Calm 54.1%
Disgusted 45%
Happy 45%
Angry 45.1%
Surprised 45%

AWS Rekognition

Age 10-15
Gender Female, 54.8%
Disgusted 45.3%
Confused 45.2%
Happy 45.5%
Calm 51%
Surprised 45.2%
Sad 46.8%
Angry 46.1%

AWS Rekognition

Age 35-52
Gender Male, 52.6%
Angry 45.1%
Calm 46.3%
Sad 53.3%
Confused 45.1%
Disgusted 45.1%
Happy 45.1%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Male, 52.4%
Confused 45.1%
Happy 45.2%
Angry 45.1%
Sad 45.7%
Calm 53.8%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Female, 53.7%
Calm 47.5%
Disgusted 45.9%
Confused 45.8%
Happy 45.8%
Angry 45.9%
Surprised 45.7%
Sad 48.4%

AWS Rekognition

Age 15-25
Gender Female, 54.1%
Sad 48.1%
Disgusted 45.9%
Confused 45.2%
Angry 46%
Happy 46.7%
Surprised 45.6%
Calm 47.6%

AWS Rekognition

Age 45-63
Gender Female, 53.4%
Surprised 45.1%
Confused 45.1%
Sad 53.6%
Disgusted 45.1%
Calm 45.3%
Angry 45.2%
Happy 45.5%

AWS Rekognition

Age 35-53
Gender Male, 51.6%
Sad 54.2%
Happy 45.1%
Calm 45.2%
Surprised 45%
Angry 45.4%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Female, 53.4%
Calm 46.1%
Disgusted 47.9%
Confused 45.9%
Angry 46.2%
Happy 45.5%
Sad 47.9%
Surprised 45.5%

AWS Rekognition

Age 27-44
Gender Male, 54.2%
Surprised 45.1%
Sad 52.8%
Happy 45.1%
Disgusted 45.2%
Confused 45.2%
Calm 45.9%
Angry 45.7%

AWS Rekognition

Age 26-43
Gender Female, 52.7%
Sad 53.3%
Disgusted 45.7%
Surprised 45.1%
Happy 45.2%
Confused 45.1%
Angry 45.2%
Calm 45.4%

AWS Rekognition

Age 20-38
Gender Female, 51.6%
Angry 45.1%
Happy 45.3%
Surprised 45.1%
Calm 45.5%
Confused 45.1%
Sad 53.9%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 51.4%
Angry 46.7%
Disgusted 45.4%
Confused 45.1%
Calm 49.5%
Happy 45.2%
Surprised 45.3%
Sad 47.8%

AWS Rekognition

Age 38-57
Gender Female, 54.2%
Disgusted 45.2%
Calm 45.1%
Surprised 45%
Sad 54.2%
Confused 45.1%
Angry 45.4%
Happy 45.1%

AWS Rekognition

Age 16-27
Gender Female, 54.1%
Disgusted 45.4%
Sad 50.9%
Calm 46.6%
Happy 45.5%
Confused 45.4%
Surprised 45.4%
Angry 45.8%

AWS Rekognition

Age 45-65
Gender Male, 53.6%
Angry 45%
Happy 54.2%
Disgusted 45.2%
Sad 45.2%
Confused 45%
Calm 45.3%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Sad 48.5%
Confused 45.2%
Calm 48.6%
Disgusted 45.4%
Happy 45.1%
Angry 47%
Surprised 45.1%

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 28
Gender Male

Feature analysis

Amazon

Person
Shoe
Person 99.5%
Person 99.5%
Person 99.1%
Person 98.9%
Person 98.8%
Person 98.4%
Person 98.1%
Person 97.5%
Person 97%
Person 95.7%
Person 86.3%
Person 82.4%
Person 80.7%
Person 80.5%
Person 79.9%
Person 77.8%
Person 76.2%
Person 74.9%
Person 72.1%
Person 66.7%
Person 61%
Person 55.9%
Person 52.6%
Person 52.2%
Shoe 63.2%