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 advanced dressmaking class where the older girls make, not only their own, but their "little sisters" dresses.
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, 3.2002.150.2

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: The advanced dressmaking class where the older girls make, not only their own, but their "little sisters" dresses.

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, 3.2002.150.2

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Clinic 98.7
Room 98.3
Indoors 98.3
Human 97.9
Person 97.9
Person 96.5
Person 96.3
Person 95.4
Person 93.6
Person 91.5
Chair 87.6
Furniture 87.6
Person 84.4
School 80.6
Classroom 80.6
Hospital 80.5
Person 77.4
Person 76.9
Operating Theatre 76
Bedroom 68.7
Person 67.3
Person 66.3
Waiting Room 55.6
Dining Room 55.4
Person 52.1
Person 48.7

Clarifai
created on 2019-06-05

people 99.9
adult 98.5
man 97.9
group 97.7
vehicle 96.7
furniture 94.5
group together 94.3
military 92.5
many 90.1
illustration 89
room 88
watercraft 87
woman 85.9
transportation system 85.9
war 85.6
print 84.6
indoors 81.3
administration 76.9
soldier 76.4
engraving 76.4

Imagga
created on 2019-06-05

room 46.5
classroom 36.3
interior 34.5
chair 29.3
table 26.1
window 23.2
modern 22.4
house 20
indoor 19.2
furniture 18.5
architecture 17.2
building 16.7
design 16.3
decor 15.9
glass 15.5
home 15.1
people 15
indoors 14.9
inside 14.7
urban 14
floor 13.9
salon 13.7
musical instrument 13.5
wood 13.3
silhouette 12.4
seat 12.3
man 12.1
light 12
empty 12
shop 11.9
city 11.6
dining 11.4
stringed instrument 11.3
men 11.2
office 10.8
structure 10.7
kitchen 10.7
male 10.6
contemporary 10.3
business 10.3
life 9.9
restaurant 9.7
style 9.6
person 9.6
black 9.6
violin 9.4
drawing 9.2
desk 9
group 8.9
chairs 8.8
airport 8.8
reflection 8.7
women 8.7
comfortable 8.6
bowed stringed instrument 8.4
bass 8.3
teacher 8.2
decoration 8
working 7.9
barbershop 7.8
scene 7.8
luxury 7.7
motion 7.7
apartment 7.7
adult 7.6
station 7.3
equipment 7.2
music 7.2
transportation 7.2
food 7
travel 7

Google
created on 2019-06-05

Photograph 95.4
Snapshot 87
Text 86.9
Room 65.7
Photography 62.4

Microsoft
created on 2019-06-05

person 95.4
old 72.3
group 62.7
several 10

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 4-9
Gender Female, 53.7%
Calm 45.8%
Surprised 45.2%
Happy 45.1%
Disgusted 45.6%
Angry 48.1%
Sad 49.9%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Female, 51.7%
Calm 45%
Confused 45.1%
Sad 45.7%
Surprised 45.1%
Happy 45.2%
Disgusted 53.7%
Angry 45.2%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Happy 45.1%
Disgusted 45.2%
Sad 53%
Surprised 45.1%
Confused 45.2%
Calm 45.3%
Angry 46.2%

AWS Rekognition

Age 29-45
Gender Female, 54.9%
Calm 46.4%
Angry 45.9%
Happy 45.4%
Sad 51.1%
Surprised 45.3%
Confused 45.2%
Disgusted 45.7%

AWS Rekognition

Age 15-25
Gender Female, 54.8%
Confused 45%
Disgusted 45%
Surprised 45%
Sad 54.9%
Angry 45%
Happy 45%
Calm 45%

AWS Rekognition

Age 14-23
Gender Female, 55%
Angry 45.3%
Sad 53.5%
Calm 45%
Surprised 45%
Confused 45.1%
Disgusted 45.2%
Happy 45.8%

AWS Rekognition

Age 20-38
Gender Female, 51.8%
Confused 45.1%
Surprised 45.1%
Sad 53.8%
Calm 45.1%
Happy 45.1%
Angry 45.8%
Disgusted 45.1%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.6%
Confused 49.6%
Calm 49.6%
Surprised 49.5%
Sad 50%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54.9%
Disgusted 45.3%
Confused 45.4%
Calm 49.5%
Angry 45.6%
Happy 46.9%
Sad 47%
Surprised 45.3%

AWS Rekognition

Age 23-38
Gender Male, 50.9%
Angry 45.3%
Disgusted 45.1%
Sad 54.2%
Surprised 45%
Happy 45%
Calm 45.3%
Confused 45.1%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Calm 49.6%
Disgusted 49.9%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Sad 49.8%
Happy 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Person 97.9%

Categories

Imagga

interior objects 83.9%
food drinks 11.1%
people portraits 2.2%
events parties 1.5%

Text analysis

Amazon

advanced
dresses.
dressmaking
sisters"
The
not
The advanced dressmaking class where the older girls
their
"little
only
older
make, not only their own, but their "little sisters" dresses.
where
the
class
girls
make,
but
own,

Google

7 The advanced dressmaking class where the older girls make, not only their own, but their "little sisters" dresses.
7
The
advanced
dressmaking
the
older
girls
not
only
but
their
"little
dresses.
class
where
make,
own,
sisters"