Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: The girls learn to sew at the age of eight by hand, and advance by easy stages to the use of the sewing machine.
Date

c. 1915
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, 3.2002.150.1

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: The girls learn to sew at the age of eight by hand, and advance by easy stages to the use of the sewing machine.

People

Artist: Wolfson, American

Date

c. 1915

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.150.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Human 98.8
Person 98.8
Person 98.2
Person 96.2
Person 94.3
Person 89.6
Building 89
Furniture 88.3
Chair 88.3
Person 86.5
Room 85.5
Indoors 85.5
Person 84.9
Factory 83.9
Clinic 79.9
Person 73.7
Workshop 73.1
Crowd 62.6
Classroom 59.7
School 59.7
Restaurant 57
Cafeteria 57
Chair 56.9
Assembly Line 56.1
Person 52.8

Clarifai
created on 2019-06-05

people 99.9
man 98.5
group 98.4
furniture 98.4
adult 97.2
room 97.2
woman 96.9
many 96.6
sit 96.4
indoors 95.6
group together 95
chair 94.5
child 92.4
desk 91.6
military 90.9
administration 87.7
crowd 87.6
several 87.1
seat 85.7
music 83.6

Imagga
created on 2019-06-05

classroom 33.8
man 31.6
male 29.1
people 29
person 25.9
group 21.7
room 21.6
teacher 20.9
education 18.2
business 17.6
student 17.5
blackboard 16.5
businessman 15.9
school 15.8
silhouette 15.7
board 15.4
boy 14.8
adult 14.5
class 13.5
women 13.4
job 13.3
indoor 12.8
table 12.7
teaching 12.7
modern 12.6
team 12.5
office 12.4
sitting 12
black 12
happy 11.9
work 11.8
portrait 11.6
musical instrument 11.5
professional 11.2
desk 11.2
study 11.2
men 11.2
child 11.1
smiling 10.8
chair 10.8
couple 10.4
meeting 10.4
two 10.2
indoors 9.7
studying 9.6
design 9.6
light 9.3
drawing 9.3
smile 9.3
communication 9.2
reflection 8.9
to 8.8
interior 8.8
looking 8.8
graphic 8.7
lifestyle 8.7
executive 8.6
gymnasium 8.6
grunge 8.5
youth 8.5
old 8.4
teamwork 8.3
photographer 8.3
handsome 8
sax 7.8
math 7.8
students 7.8
exam 7.7
wind instrument 7.6
college 7.6
career 7.6
mature 7.4
inside 7.4
occupation 7.3
facility 7.3
love 7.1
kid 7.1
working 7.1
happiness 7

Google
created on 2019-06-05

Photograph 96.1
Snapshot 88.2
Room 71.4
Photography 67.8
History 60.4

Microsoft
created on 2019-06-05

person 94.1
indoor 89.6
table 89
furniture 83.2
clothing 78.9
old 60.7

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 19-36
Gender Female, 52.8%
Sad 52.2%
Angry 45.2%
Disgusted 45.1%
Surprised 45.2%
Happy 45.2%
Calm 46.8%
Confused 45.3%

AWS Rekognition

Age 16-27
Gender Female, 54.6%
Surprised 45.1%
Sad 45%
Disgusted 45.2%
Happy 45%
Confused 45%
Calm 45.1%
Angry 54.5%

AWS Rekognition

Age 17-27
Gender Female, 54.2%
Angry 45.1%
Disgusted 45%
Sad 54.6%
Happy 45%
Confused 45%
Surprised 45%
Calm 45.2%

AWS Rekognition

Age 10-15
Gender Female, 54%
Disgusted 45%
Confused 45%
Sad 51.7%
Angry 45.1%
Happy 48.1%
Surprised 45%
Calm 45.1%

AWS Rekognition

Age 17-27
Gender Female, 54.7%
Calm 45.1%
Surprised 45%
Happy 45.1%
Disgusted 45%
Angry 45.6%
Sad 54.1%
Confused 45%

AWS Rekognition

Age 14-25
Gender Female, 54.8%
Surprised 45.1%
Disgusted 45.1%
Sad 53.1%
Calm 46.3%
Happy 45.1%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Calm 45.1%
Disgusted 45.1%
Surprised 45%
Confused 45%
Angry 45%
Sad 54.6%
Happy 45.1%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Confused 45.1%
Angry 45.6%
Disgusted 45.5%
Calm 45.9%
Happy 47.7%
Surprised 45.2%
Sad 50.1%

AWS Rekognition

Age 45-66
Gender Male, 50.2%
Angry 49.5%
Sad 49.8%
Calm 49.9%
Surprised 49.6%
Confused 49.6%
Disgusted 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 53.1%
Surprised 45.4%
Sad 46.2%
Disgusted 46.3%
Happy 45.6%
Confused 45.4%
Calm 50.2%
Angry 46%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Calm 50%
Sad 49.7%
Angry 49.6%
Confused 49.6%
Happy 49.6%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 45-65
Gender Female, 50.3%
Sad 49.7%
Disgusted 49.6%
Surprised 49.6%
Happy 49.9%
Confused 49.6%
Calm 49.6%
Angry 49.5%

Microsoft Cognitive Services

Age 21
Gender Female

Feature analysis

Amazon

Person 98.8%
Chair 88.3%

Categories

Imagga

interior objects 98.5%
food drinks 1.4%

Text analysis

Amazon

advance
learn
eight
of
girls
stages
and
machine.
easy
the
age
sewing
at
use
and advance by easy stages to the use of the sewing machine.
hand,
The girls learn to sew at the age of eight by hand,
The
by
to
sew

Google

The
girls
sew
age
of
eight
by
advance
easy
the
use
sewing
machine.
The girls learn to sew at the age of eight by hand, and advance by easy stages to the use of the sewing machine.
learn
to
at
hand,
and
stages