Human Generated Data

Title

Races, Negroes: United States. Alabama. Tuskegee. Tuskegee Institute: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Tuskegee Institute, Tuskegee, Alabama: Hospital and Nurse Training School.
Date

1902
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, 3.2002.121

Human Generated Data

Title

Races, Negroes: United States. Alabama. Tuskegee. Tuskegee Institute: Agencies Promoting Assimilation of the Negro. Training for Commercial and Industrial Employment. Tuskegee Institute, Tuskegee, Alabama: Hospital and Nurse Training School.

People

Artist: Frances Benjamin Johnston, American 1864 - 1952

Date

1902

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.121

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.7
Person 98.7
Person 98.3
Person 98
Person 97.3
Person 96.1
Person 95.1
Person 90
Person 84.7
People 82.3
Person 78
Apparel 59.4
Clothing 59.4
Sailor Suit 56.1

Clarifai
created on 2019-06-05

people 99.5
adult 97.9
group 97.6
woman 96.5
many 95
man 93.2
wedding 91.7
wear 90.1
child 85.3
group together 85.2
several 84.9
veil 83.8
indoors 82.7
leader 81.5
illustration 78.8
education 77.3
portrait 76.8
room 76.5
painting 75.9
home 74.8

Imagga
created on 2019-06-05

bride 31.9
groom 31
dress 28.9
couple 27.9
people 27.3
wedding 26.6
adult 25.3
love 24.4
happy 21.3
person 20.3
marriage 19.9
happiness 19.6
man 18.8
family 18.7
clothing 18.3
married 18.2
bouquet 17.2
teacher 17.1
portrait 16.2
women 15.8
flowers 15.6
nurse 15.6
two 15.2
smiling 15.2
kin 15.1
male 14.9
church 14.8
gown 14.8
men 14.6
ceremony 14.5
educator 14.1
together 14
life 13.7
home 13.5
smile 13.5
old 11.8
bridal 11.7
professional 11.5
wife 11.4
fashion 11.3
clothes 11.2
celebration 11.2
catholic 10.9
wed 10.8
human 10.5
attractive 10.5
day 10.2
mother 10
husband 10
romantic 9.8
cheerful 9.7
lady 9.7
full length 9.7
looking 9.6
loving 9.5
room 9.5
lifestyle 9.4
tradition 9.2
elegance 9.2
pretty 9.1
new 8.9
matrimony 8.9
holy 8.7
flower 8.4
house 8.3
health 8.3
outdoors 8.2
pose 8.1
romance 8
interior 8
indoors 7.9
holiday 7.9
model 7.8
hospital 7.6
adults 7.6
ring 7.5
senior 7.5
fun 7.5
care 7.4
child 7.2
religion 7.2
hair 7.1
posing 7.1
face 7.1

Google
created on 2019-06-05

Photograph 97.2
Snapshot 85.6
Dress 82.6
Room 71.4
Event 67
Formal wear 63.7
Family 63.2
Ceremony 62.8
Photography 62.4
Child 61.3
Gown 61.1
Classic 56.7
Photograph album 56.1
Vintage clothing 53.5

Microsoft
created on 2019-06-05

dress 94.2
person 92.3
clothing 91
wedding dress 90
woman 86.4
bride 78.2
posing 61.2
room 56

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Female, 54.7%
Angry 45.1%
Surprised 45%
Sad 54.5%
Confused 45%
Calm 45.2%
Disgusted 45%
Happy 45.1%

AWS Rekognition

Age 45-63
Gender Male, 54%
Happy 45.1%
Sad 51.2%
Confused 45.2%
Calm 48.2%
Angry 45.1%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 48-68
Gender Male, 54.7%
Surprised 45.2%
Angry 47.6%
Sad 49.4%
Happy 45.5%
Disgusted 45.1%
Calm 46.5%
Confused 45.7%

AWS Rekognition

Age 38-59
Gender Female, 54.1%
Confused 45.1%
Surprised 45.1%
Angry 45.1%
Happy 45.1%
Sad 54.5%
Calm 45.2%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.6%
Angry 45.1%
Confused 45%
Calm 46.8%
Disgusted 45%
Happy 45%
Surprised 45%
Sad 52.9%

AWS Rekognition

Age 35-52
Gender Male, 52.7%
Angry 45.2%
Confused 45.2%
Calm 52.2%
Disgusted 45.5%
Happy 45.7%
Surprised 45.2%
Sad 46%

AWS Rekognition

Age 26-43
Gender Female, 54.7%
Surprised 45.1%
Happy 45.2%
Disgusted 45.2%
Calm 45.9%
Sad 53.3%
Angry 45.1%
Confused 45.1%

AWS Rekognition

Age 27-44
Gender Female, 52.4%
Disgusted 45.2%
Confused 45.2%
Happy 45.5%
Sad 50.6%
Surprised 45.3%
Calm 47.8%
Angry 45.3%

AWS Rekognition

Age 26-44
Gender Female, 52.9%
Calm 45.6%
Sad 53.8%
Disgusted 45.1%
Surprised 45.1%
Confused 45.1%
Happy 45.2%
Angry 45.1%

AWS Rekognition

Age 48-68
Gender Female, 52.9%
Disgusted 45.2%
Confused 45.2%
Surprised 45.3%
Calm 48.9%
Happy 45.8%
Angry 45.2%
Sad 49.5%

AWS Rekognition

Age 14-23
Gender Female, 53.2%
Calm 45.2%
Angry 47.4%
Happy 45.7%
Surprised 45.2%
Confused 45.2%
Disgusted 45.1%
Sad 51.3%

AWS Rekognition

Age 26-43
Gender Male, 54%
Angry 45.3%
Calm 48.6%
Surprised 45.3%
Disgusted 45.3%
Happy 45.2%
Sad 49.6%
Confused 45.7%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Sad 54.3%
Calm 45.3%
Happy 45.2%
Surprised 45%
Angry 45.1%
Disgusted 45.1%
Confused 45.1%

AWS Rekognition

Age 35-52
Gender Male, 50.3%
Surprised 49.5%
Happy 49.5%
Sad 50.3%
Angry 49.5%
Disgusted 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 27-44
Gender Female, 54.1%
Calm 46.7%
Disgusted 45.5%
Sad 51.5%
Angry 45.4%
Happy 45.4%
Confused 45.2%
Surprised 45.3%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Confused 45.3%
Calm 45.7%
Angry 45.4%
Surprised 45.3%
Sad 49.7%
Happy 45.2%
Disgusted 48.3%

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Confused 45.2%
Angry 45.3%
Disgusted 45.8%
Surprised 45.2%
Sad 50.7%
Calm 47.4%
Happy 45.3%

AWS Rekognition

Age 38-59
Gender Male, 54.8%
Sad 46.4%
Disgusted 45.3%
Angry 45.2%
Confused 45.8%
Calm 52.1%
Surprised 45.1%
Happy 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Confused 49.5%
Surprised 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 23-38
Gender Female, 53.3%
Happy 45.5%
Disgusted 45.2%
Surprised 45.2%
Angry 45.3%
Sad 49.2%
Confused 45.1%
Calm 49.4%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Disgusted 49.5%
Sad 50.4%
Calm 49.6%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 57-77
Gender Female, 54.4%
Calm 45%
Confused 45%
Disgusted 45%
Happy 45%
Angry 45.1%
Sad 54.9%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Angry 49.5%
Sad 49.5%
Disgusted 49.5%
Calm 50.4%
Surprised 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 45-63
Gender Female, 52.6%
Sad 53.9%
Disgusted 45.3%
Confused 45.2%
Happy 45.1%
Calm 45.2%
Surprised 45.1%
Angry 45.2%

Feature analysis

Amazon

Person 98.7%

Text analysis

Amazon

Training
Promoting
for
Commercial
Negro
Industrial
Assimilation
Tuskegee
Agencies the Assimilation of Negro Promoting
the
and
Institute,
Agencies
Tuskegee Institute, Tuskegee, Alabama
Tuskegee,
of
ment Commercial Training for and Industrial Employment
Employment
Alabama
HOSPITAL
TRALNING
ment
AND
HOSPITAL AND NURSr TRALNING CH1001.
tt
NURSr
CH1001.

Google

HosPITAL AND AURSE TRAIING SCHOO Agencies Promoting Assimilation of the Negro Training for Commercial and Industrial Employment Tuskegee Institute, Tuskegee, Alabama
HosPITAL
AND
AURSE
TRAIING
SCHOO
Agencies
Promoting
Assimilation
of
the
Negro
Training
for
Commercial
and
Industrial
Employment
Tuskegee
Institute,
Tuskegee,
Alabama