Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guarding Society Orphan Asylum, Pleasantville, New York: The industrial program for girls includes instruction in embroidery.
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, 3.2002.669.1

Human Generated Data

Title

Charity, Children: United States. New York. Pleasantville. Hebrew Sheltering Guardian Society: Hebrew Sheltering Guarding Society Orphan Asylum, Pleasantville, New York: The industrial program for girls includes instruction in embroidery.

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, 3.2002.669.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Classroom 100
Room 100
School 100
Indoors 100
Person 99.2
Human 99.2
Person 98.2
Person 98
Person 97.7
Person 97.3
Person 95.3
Person 95.1
Person 94.2
Person 93.3
Person 92.5
Person 92.2
Person 86.7
Person 86.2
Person 86.2
Person 83.1
Person 78.9
Person 74.4
Person 69.9
Person 66.1

Clarifai
created on 2019-06-07

people 100
many 99.7
group 99.4
child 99.4
furniture 98.2
group together 98.2
room 98.1
education 95.7
adult 94.3
boy 93.4
classroom 92.6
school 91.7
elementary school 91
indoors 90.5
teacher 89.9
man 89.9
woman 89.8
several 86.8
sit 86.8
wear 86.4

Imagga
created on 2019-06-07

case 43
interior 38.9
table 31.7
home 28.7
room 28.4
glass 24.7
furniture 24.6
shop 24.3
house 23.4
decor 22.1
chair 19.9
decoration 18.8
indoors 18.4
luxury 16.3
modern 16.1
mercantile establishment 14.3
window 14.1
design 14.1
light 14
indoor 13.7
comfortable 13.4
restaurant 13.3
shelf 12.5
bakery 12.3
lifestyle 12.3
elegant 12
elegance 11.7
kitchen 11.7
apartment 11.5
party 11.2
celebration 11.2
chandelier 10.8
happy 10.6
people 10.6
lamp 10.5
wood 10.3
service 10.2
inside 10.1
flower 10
cabinet 9.9
food 9.9
flowers 9.6
dining 9.5
place of business 9.5
women 9.5
living 9.5
dinner 9.4
wall 9.4
architecture 9.4
musical instrument 9.3
relaxation 9.2
wedding 9.2
fashion 9
gift 8.6
hotel 8.6
sitting 8.6
place 8.4
classic 8.3
person 8.3
family 8
wooden 7.9
holiday 7.9
color 7.8
sofa 7.6
man 7.5
floor 7.4
antique 7.4
vase 7.4
stringed instrument 7.3
domestic 7.2
smiling 7.2
male 7.1
plate 7.1
happiness 7

Google
created on 2019-06-07

Photograph 95.9
Snapshot 84.3
Room 83.1
Table 69.7
Photography 62.4
Class 52.7
Classroom 51.6

Microsoft
created on 2019-06-07

person 97.4
wall 97.3
clothing 92.1
indoor 89.5
restaurant 88.2
black and white 73.1
furniture 72.9
food 66
woman 64.7
cafe 63.3
fast food 61.6
table 33.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 19-36
Gender Female, 52.8%
Angry 45.1%
Confused 45.1%
Disgusted 45%
Surprised 45%
Calm 45.1%
Sad 54.7%
Happy 45.1%

AWS Rekognition

Age 45-63
Gender Male, 53.6%
Surprised 45.1%
Happy 45.2%
Sad 50.7%
Confused 45.3%
Disgusted 45.2%
Angry 45.4%
Calm 48.1%

AWS Rekognition

Age 35-52
Gender Female, 54%
Disgusted 45.4%
Happy 45.1%
Confused 45.1%
Sad 52.5%
Angry 45.4%
Surprised 45.1%
Calm 46.4%

AWS Rekognition

Age 15-25
Gender Female, 53.5%
Angry 45.2%
Surprised 45%
Confused 45.1%
Sad 46.1%
Disgusted 45%
Happy 45%
Calm 53.4%

AWS Rekognition

Age 38-57
Gender Male, 50.2%
Happy 46.1%
Angry 45.3%
Surprised 45.4%
Disgusted 45.5%
Confused 45.2%
Calm 47.1%
Sad 50.5%

AWS Rekognition

Age 20-38
Gender Female, 53.3%
Calm 45.4%
Angry 45.1%
Disgusted 45%
Happy 50.5%
Confused 45.1%
Sad 48.9%
Surprised 45.1%

AWS Rekognition

Age 14-25
Gender Female, 54.5%
Surprised 45.2%
Confused 45.2%
Disgusted 45.2%
Angry 45.2%
Calm 48.5%
Happy 45.7%
Sad 49.9%

AWS Rekognition

Age 23-38
Gender Female, 52.8%
Happy 46.4%
Surprised 45.2%
Confused 45.4%
Angry 45.3%
Sad 46.8%
Disgusted 46.3%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 53.3%
Happy 49.7%
Angry 45.2%
Calm 47.7%
Surprised 45.3%
Disgusted 45.2%
Sad 46.7%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Calm 46.2%
Angry 45.3%
Confused 45.3%
Surprised 45.2%
Sad 46.1%
Happy 51.9%
Disgusted 45.1%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Calm 49.5%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.5%

AWS Rekognition

Age 26-43
Gender Female, 53.4%
Surprised 45.1%
Happy 45.2%
Sad 53.5%
Confused 45.1%
Disgusted 45.2%
Angry 45.3%
Calm 45.7%

AWS Rekognition

Age 14-25
Gender Female, 55%
Sad 54.7%
Angry 45.1%
Happy 45%
Disgusted 45%
Calm 45.1%
Surprised 45%
Confused 45%

AWS Rekognition

Age 48-68
Gender Female, 53.3%
Surprised 45%
Angry 45.6%
Sad 54%
Disgusted 45%
Happy 45%
Calm 45.2%
Confused 45%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.9%
Sad 49.9%

AWS Rekognition

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

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Disgusted 49.6%
Sad 50.3%
Angry 49.5%
Calm 49.6%
Confused 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Sad 50.4%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Calm 50.1%
Disgusted 49.5%
Sad 49.8%
Happy 49.5%
Surprised 49.5%
Angry 49.6%
Confused 49.5%

Feature analysis

Amazon

Person 99.2%

Categories

Imagga

interior objects 86.5%
events parties 5.8%
food drinks 4%
people portraits 2.9%

Text analysis

Amazon

V