Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: "Big sisters" reading to the "little sisters."

Date

c. 1900

People

Artist: Wolfson, American

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.167.2

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: "Big sisters" reading to the "little sisters."

People

Artist: Wolfson, American

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.167.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.2
Person 98.2
Clinic 98.1
Person 98
Person 97.4
Person 96.8
Indoors 96.5
Room 96.5
Person 94.7
Person 94.5
Person 94.2
Person 91.6
Person 91.3
Person 90.1
Person 86.8
Hospital 77.5
Operating Theatre 68.8
Doctor 65.4
Person 62
Crowd 61.6
Person 57.6
Nurse 56.2
First Aid 55.4

Clarifai
created on 2019-06-05

people 99.9
adult 98.1
man 97.7
woman 97.5
child 97.3
indoors 94.7
group 93.6
sit 93
many 92.6
furniture 91.8
room 91.7
family 91.1
education 80.9
wear 79.2
group together 77.9
chair 76.9
boy 71.5
uniform 70.5
table 70
military 69.5

Imagga
created on 2019-06-05

room 30.1
home 29.5
person 26.6
interior 24.7
people 21.7
man 21.5
shoe shop 19.4
shop 19.1
adult 18.8
kin 18.5
house 18.4
couch 18.3
happy 18.2
dress 18
chair 17.5
indoor 17.3
window 16.8
portrait 16.8
couple 16.5
women 15.8
love 15.8
indoors 14.9
smiling 14.5
family 14.2
table 13.8
mercantile establishment 13.8
smile 13.5
patient 13
male 12.8
happiness 12.5
living 12.3
luxury 12
living room 11.7
bride 11.6
lifestyle 11.6
loving 11.4
together 11.4
cheerful 11.4
men 11.2
groom 11.1
married 10.5
sofa 10.5
modern 10.5
case 10.5
comfortable 10.5
wedding 10.1
salon 10
furniture 10
decor 9.7
sitting 9.4
teacher 9.4
elegant 9.4
day 9.4
architecture 9.4
floor 9.3
place of business 9.2
sick person 9.1
design 9
lady 8.9
new 8.9
apartment 8.6
marriage 8.5
bouquet 8.5
two 8.5
flower 8.4
senior 8.4
inside 8.3
style 8.2
celebration 8
holiday 7.9
face 7.8
health 7.6
estate 7.6
fashion 7.5
fun 7.5
decoration 7.5
care 7.4
mother 7.3
group 7.2
violin 7.2

Google
created on 2019-06-05

Microsoft
created on 2019-06-05

person 95.6
indoor 94.5
clothing 94.3
wedding dress 90.1
woman 81.5
bride 79.6
dress 70.3
room 68.1
old 47.9
clothes 26.8
several 13.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Angry 45.6%
Sad 53.4%
Calm 45.3%
Surprised 45.1%
Confused 45.2%
Disgusted 45.4%
Happy 45%

AWS Rekognition

Age 15-25
Gender Female, 52.1%
Sad 49.1%
Angry 50.5%
Confused 45.1%
Happy 45.1%
Disgusted 45.1%
Surprised 45.1%
Calm 45.1%

AWS Rekognition

Age 19-36
Gender Female, 53.5%
Surprised 45.8%
Happy 45.3%
Confused 45.9%
Calm 47.8%
Disgusted 45.9%
Angry 47.4%
Sad 46.9%

AWS Rekognition

Age 27-44
Gender Female, 54.8%
Surprised 45.2%
Sad 48.4%
Disgusted 47.1%
Happy 46.1%
Confused 45.5%
Calm 46.7%
Angry 46%

AWS Rekognition

Age 26-44
Gender Female, 54.4%
Sad 53.6%
Angry 45.2%
Calm 45.3%
Confused 45.2%
Happy 45.4%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Angry 49.9%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.5%
Sad 49.9%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 50.4%

AWS Rekognition

Age 10-15
Gender Female, 50.2%
Calm 49.6%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.3%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 54.6%
Happy 48.8%
Sad 45.8%
Disgusted 45.8%
Calm 46.9%
Surprised 46.1%
Confused 45.6%
Angry 45.9%

AWS Rekognition

Age 30-47
Gender Female, 51.8%
Surprised 45.5%
Disgusted 45.4%
Sad 49.8%
Calm 45.6%
Confused 45.4%
Angry 47.2%
Happy 46%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.5%
Disgusted 49.6%
Confused 49.6%
Happy 49.5%
Angry 49.6%
Sad 50.2%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.5%
Sad 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Calm 50.3%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.8%
Confused 49.5%
Happy 49.7%
Disgusted 49.6%
Sad 49.7%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.2%
Calm 49.6%
Happy 49.5%
Sad 49.9%
Angry 49.5%
Confused 49.5%
Disgusted 49.9%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 54.8%
Sad 52%
Confused 45.2%
Angry 45.4%
Calm 45.4%
Surprised 45.3%
Happy 45.2%
Disgusted 46.4%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Disgusted 50%
Confused 49.6%
Happy 49.6%
Calm 49.6%
Surprised 49.6%
Sad 49.6%
Angry 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Surprised 49.5%
Angry 49.5%
Sad 49.9%
Happy 49.5%
Disgusted 49.7%
Calm 49.8%
Confused 49.6%

Feature analysis

Amazon

Person 98.2%

Text analysis

Amazon

sisters."
"Big
the
"Big sisters" reading to the "little sisters."
reading
"little
sisters"
to

Google

tYOR "Big sisters" reading to the "little sisters."
tYOR
"Big
sisters"
reading
to
the
"little
sisters."