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 "big sisters" in each cottage assemble in regular meeting to discuss plans for the welfare of their "little sisters."

Date

c. 1900

People

Artist: Wolfson, American

Classification

Photographs

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 "big sisters" in each cottage assemble in regular meeting to discuss plans for the welfare of their "little sisters."

People

Artist: Wolfson, American

Date

c. 1900

Classification

Photographs

Machine Generated Data

Tags

Amazon

Human 99.4
Person 99.4
Person 98.9
Person 97.6
Person 96.1
Person 94.7
Person 94.7
Room 94.2
Indoors 94.2
Person 93.3
Person 90.1
Person 87.6
Furniture 86.3
Person 83
People 82
Table 76.4
Painting 72.5
Art 72.5
Dining Room 65.7
Person 62.2
Dining Table 61
Home Decor 59.4
Meal 56.5
Food 56.5
Workshop 55.9

Clarifai

people 100
adult 99.1
furniture 98.7
many 98.2
sit 97.9
man 97.5
woman 96.7
indoors 96.5
chair 93.7
group 92.7
child 92.5
room 90.8
leader 90.5
military 90.3
group together 89.9
desk 89.2
administration 89.1
dining room 89
table 87.5
sitting 82.1

Imagga

room 81.5
classroom 75.5
interior 38.9
table 37.8
chair 29.5
percussion instrument 29.5
house 25.1
home 24.7
marimba 24.1
musical instrument 23
modern 22.4
women 22.1
man 21.5
teacher 21.4
furniture 21.3
male 21.3
indoors 21.1
people 20.6
sitting 19.8
restaurant 19.7
person 17.8
indoor 16.4
dining 15.2
smiling 15.2
lifestyle 15.2
design 14.6
group 14.5
adult 14.4
floor 13.9
professional 13.4
decor 13.3
office 13
inside 12.9
men 12.9
luxury 12.9
grand piano 12.7
kitchen 12.6
happy 12.5
together 12.3
window 12.2
education 12.1
desk 11.9
glass 11.7
wood 11.7
business 11.5
piano 11.4
couple 11.3
teamwork 11.1
businessman 10.6
student 10.5
cafeteria 10.5
educator 10.4
style 10.4
meeting 10.4
contemporary 10.3
work 10.3
architecture 10.2
waiter 10.2
holding 9.9
team 9.8
sofa 9.6
stringed instrument 9.5
school 9.5
togetherness 9.4
enjoyment 9.4
two 9.3
food 9.3
smile 9.3
communication 9.2
executive 9.2
job 8.8
leisure activity 8.8
two people 8.8
full length 8.7
love 8.7
worker 8.6
residential 8.6
hotel 8.6
talking 8.6
dinner 8.5
living 8.5
portrait 8.4
drink 8.3
coffee 8.3
bar 8.3
employee 8.2
cheerful 8.1
keyboard instrument 8.1
success 8
family 8
decoration 8
20 24 years 7.9
seat 7.8
life 7.8
conference 7.8
teaching 7.8
couch 7.7
class 7.7
apartment 7.7
drinking 7.7
comfortable 7.6
lamp 7.6
relax 7.6
relaxation 7.5
friends 7.5
friendship 7.5
plant 7.5
service 7.4
dining-room attendant 7.4
laptop 7.3
color 7.2
building 7.2
happiness 7

Microsoft

table 99
wall 98.3
indoor 96.4
person 95.1
clothing 85.7
library 85.6
room 75.6
man 72.6
furniture 31.6
several 12.1

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 55%
Disgusted 45%
Confused 45.1%
Calm 45.6%
Angry 45.1%
Happy 53.5%
Sad 45.7%
Surprised 45.1%

AWS Rekognition

Age 15-25
Gender Female, 52%
Disgusted 45.1%
Happy 45.1%
Angry 48.4%
Surprised 45.1%
Sad 46.9%
Confused 45.4%
Calm 49%

AWS Rekognition

Age 11-18
Gender Female, 51.7%
Calm 45.4%
Disgusted 45%
Sad 45.2%
Happy 45%
Confused 45.2%
Surprised 45%
Angry 54.1%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Calm 51.2%
Sad 45.8%
Angry 47.3%
Surprised 45.2%
Disgusted 45%
Confused 45.3%
Happy 45.3%

AWS Rekognition

Age 11-18
Gender Female, 54.1%
Confused 45%
Disgusted 45%
Surprised 45%
Sad 54.8%
Angry 45.2%
Happy 45%
Calm 45%

AWS Rekognition

Age 14-23
Gender Male, 52%
Disgusted 45%
Sad 52.9%
Calm 45.9%
Surprised 45.1%
Angry 45.3%
Happy 45.6%
Confused 45.2%

AWS Rekognition

Age 14-25
Gender Female, 55%
Calm 45.6%
Happy 46%
Sad 52.4%
Angry 45.4%
Confused 45.1%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 14-25
Gender Female, 51.8%
Calm 48.3%
Disgusted 45.1%
Confused 45.4%
Happy 45.6%
Angry 48.1%
Sad 46.2%
Surprised 46.2%

AWS Rekognition

Age 14-25
Gender Female, 54.9%
Confused 45.7%
Happy 45.4%
Sad 46.2%
Disgusted 45.2%
Angry 46.1%
Calm 51%
Surprised 45.4%

AWS Rekognition

Age 14-25
Gender Male, 53.2%
Disgusted 45.1%
Confused 45.1%
Calm 50.6%
Surprised 45.1%
Happy 45.7%
Sad 48.1%
Angry 45.3%

Feature analysis

Amazon

Person 99.4%
Painting 72.5%

Captions

Microsoft

a group of people sitting at a table in front of a window 61.1%
a group of people sitting at a table in a room 61%
a group of people in a room 60.9%

Text analysis

Amazon

The
ing
"big
each
welfare
sisters"
"little
to
discuss
The "big sisters" in each ttage assemble in
ttage
their
of
ing to discuss plans for the welfare their regular meet-
plans
in
the
assemble
meet-
regular
of "little siscers."
for
siscers."

Google

each
the
welfare
their
WYOA
meet-
ing
OLSO WYOA The "big sisters" in each co ttage assemble in regular meet- ing to discuss plans for the welfare of their "little siscers."
"big
sisters"
ttage
assemble
in
to
siscers."
of
"little
OLSO
The
co
regular
discuss
plans
for