Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: Each cottage has its own little republic where each individual child has her say as to the cottage and its affairs.
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, 3.2002.362.1

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guardian Society Orphan Asylum, Pleasantville, New York: Each cottage has its own little republic where each individual child has her say as to the cottage and its affairs.

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, 3.2002.362.1

Machine Generated Data

Tags

Amazon
created on 2019-06-05

Person 99.4
Human 99.4
Person 99
Classroom 98.8
Room 98.8
Indoors 98.8
School 98.8
Person 98.5
Person 93.9
Person 93
Person 92.6
Person 91
Person 88.6
Person 84.8
Person 84.4
Person 84.2
Person 84.1
Person 81.8
Audience 80.6
Crowd 80.6
Person 63.9
Porch 62.9
Chair 61.8
Furniture 61.8
Person 61.5
Waiting Room 60.7
Clinic 55.1

Clarifai
created on 2019-06-05

people 100
many 99.8
group 99.3
group together 99.1
adult 98.5
furniture 98.4
leader 97.4
administration 97.3
man 95
room 94.9
woman 94.1
several 92.5
education 92.4
military 92.3
chair 91.5
sit 88.3
wear 85.9
war 84.5
home 82.7
recreation 81

Imagga
created on 2019-06-05

restaurant 70.4
cafeteria 57.5
room 55.2
interior 53.1
hall 45.2
table 45.2
chair 42.4
building 37.5
furniture 36.4
structure 27.4
classroom 26
modern 25.2
dining 24.7
floor 24.2
home 23.9
decor 23.9
house 23.4
design 21.9
chairs 21.5
wood 20.8
architecture 20.3
indoors 20.2
indoor 20.1
tables 18.7
luxury 18
style 17.8
window 17.5
comfortable 17.2
dinner 17.2
decoration 16.6
empty 16.3
lamp 16.2
seat 16
contemporary 16
teacher 16
hotel 14.3
glass 14
food 14
inside 13.8
elegant 13.7
sofa 13.4
light 13.4
elegance 12.6
bar 12
living 11.4
urban 11.4
wall 11.1
women 11.1
stool 10.9
lifestyle 10.8
kitchen 10.7
people 10.6
residential 10.5
counter 10.3
service 10.2
relax 10.1
drink 10
educator 9.9
wooden 9.7
lighting 9.7
apartment 9.6
party 9.5
nobody 9.3
place 9.3
eat 9.2
relaxation 9.2
lunch 9.2
plant 9
professional 8.9
life 8.8
sitting 8.6
decorate 8.6
meal 8.4
shop 8.2
dining room 7.9
drawer 7.9
business 7.9
upscale 7.9
person 7.9
stove 7.9
day 7.8
carpet 7.8
space 7.8
marble 7.7
vase 7.7
couch 7.7
expensive 7.7
estate 7.6
city 7.5
coffee 7.4
banquet 7.4
man 7.4
library 7.3
stylish 7.2
family 7.1

Google
created on 2019-06-05

Photograph 95.7
Room 86.7
Snapshot 83.9
Sitting 60.2
Monochrome 60.1
Black-and-white 56.4
Furniture 53.3

Microsoft
created on 2019-06-05

indoor 99.3
ceiling 97.7
table 94.6
floor 94.2
person 91.5
furniture 86.7
clothing 78.1
people 68.1
chair 61.1
old 43
restaurant 21.9
several 13.6
dining room 11.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 14-25
Gender Female, 50.9%
Calm 45.3%
Sad 48.5%
Angry 45.4%
Confused 45.1%
Happy 50.4%
Disgusted 45.2%
Surprised 45.1%

AWS Rekognition

Age 9-14
Gender Female, 54.9%
Confused 45.4%
Angry 45.4%
Disgusted 45.3%
Surprised 45.3%
Sad 45.9%
Calm 48.5%
Happy 49.2%

AWS Rekognition

Age 20-38
Gender Female, 53.2%
Angry 45.7%
Sad 48%
Surprised 46%
Happy 46.1%
Calm 48.5%
Disgusted 45.3%
Confused 45.4%

AWS Rekognition

Age 14-23
Gender Female, 52.6%
Happy 45.2%
Disgusted 45.3%
Confused 45.5%
Surprised 45.2%
Sad 48.7%
Angry 45.8%
Calm 49.2%

AWS Rekognition

Age 23-38
Gender Female, 52.1%
Disgusted 45.4%
Confused 45.4%
Surprised 45.4%
Calm 45.4%
Happy 46.1%
Angry 46.2%
Sad 51.2%

AWS Rekognition

Age 10-15
Gender Female, 54.9%
Happy 45.2%
Sad 48%
Surprised 45.5%
Angry 46.4%
Calm 48.5%
Disgusted 45.7%
Confused 45.7%

AWS Rekognition

Age 11-18
Gender Female, 55%
Surprised 45.1%
Disgusted 45.3%
Sad 45.1%
Calm 45.2%
Happy 54.1%
Confused 45.1%
Angry 45.1%

AWS Rekognition

Age 14-25
Gender Female, 55%
Disgusted 45.1%
Happy 45.1%
Calm 48.9%
Angry 45.1%
Surprised 45.1%
Confused 45.2%
Sad 50.4%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 45.1%
Sad 45.3%
Calm 54.1%
Confused 45.1%
Happy 45.1%
Surprised 45.2%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Female, 53.1%
Surprised 45.4%
Angry 45.3%
Disgusted 45.4%
Happy 45.6%
Calm 50.1%
Sad 48.1%
Confused 45.2%

AWS Rekognition

Age 29-45
Gender Male, 52.9%
Surprised 45.1%
Confused 45.2%
Happy 45.4%
Calm 46%
Disgusted 45.1%
Sad 52.8%
Angry 45.3%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.8%
Disgusted 49.6%
Calm 49.5%
Sad 49.7%
Confused 49.5%
Surprised 49.7%
Angry 49.6%

AWS Rekognition

Age 12-22
Gender Female, 50.2%
Sad 50.2%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 11-18
Gender Male, 51.6%
Calm 50.6%
Sad 46.6%
Surprised 45.4%
Disgusted 45.2%
Angry 46%
Happy 45.8%
Confused 45.4%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Happy 49.7%
Sad 49.6%
Disgusted 49.6%
Angry 49.8%
Surprised 49.5%
Calm 49.8%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Surprised 49.6%
Confused 49.7%
Sad 49.8%
Disgusted 49.6%
Happy 49.6%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50.3%
Calm 49.5%
Confused 49.5%
Disgusted 49.9%
Happy 49.5%
Angry 49.8%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.5%
Happy 49.5%
Angry 49.8%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 45-63
Gender Female, 52.3%
Calm 52.1%
Sad 46.6%
Angry 45.3%
Confused 45.2%
Happy 45.2%
Disgusted 45.2%
Surprised 45.3%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 50.4%
Angry 45.8%
Sad 47.6%
Happy 45.2%
Confused 45.4%
Surprised 45.5%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Angry 49.6%
Happy 49.5%
Surprised 49.7%
Disgusted 49.5%
Sad 49.6%
Confused 49.7%
Calm 49.9%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Calm 49.6%
Angry 50.2%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Calm 49.6%
Surprised 49.6%
Confused 49.6%
Sad 49.6%
Angry 49.7%
Disgusted 49.6%
Happy 49.8%

AWS Rekognition

Age 48-68
Gender Male, 50.2%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%
Calm 49.8%
Angry 49.6%
Confused 49.5%
Sad 49.9%

Microsoft Cognitive Services

Age 10
Gender Female

Feature analysis

Amazon

Person 99.4%
Chair 61.8%

Text analysis

Amazon

fryon

Google

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