Human Generated Data

Title

Charity, Children: United States. New Hampshire. Manchester. St. Joseph's Boys' Home: New Hampshire State Charitable and Correctional Institutions.: School Room.

Date

c. 1900

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2622.1

Human Generated Data

Title

Charity, Children: United States. New Hampshire. Manchester. St. Joseph's Boys' Home: New Hampshire State Charitable and Correctional Institutions.: School Room.

People

Artist: Unidentified Artist,

Date

c. 1900

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2622.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Indoors 99.9
School 99.9
Room 99.9
Classroom 99.9
Person 99.1
Human 99.1
Person 98.8
Person 98.4
Person 97.9
Person 91.3
Person 90.9
Person 89.4
Person 85.8
Person 84.5
Person 81
Person 77.1
Person 72.5
Person 55.8
Person 47.2

Clarifai
created on 2019-06-07

people 100
many 99.9
group 99.6
group together 98.4
education 97.7
adult 97.4
administration 96.3
school 96.2
child 96.2
room 96.2
furniture 94.7
leader 93.3
classroom 93
war 92.8
elementary school 91.2
several 90.5
man 90.4
woman 89.2
military 88.7
teacher 87.8

Imagga
created on 2019-06-07

room 82.1
classroom 65.6
interior 54.9
table 49.4
chair 42
restaurant 38.6
furniture 35.4
hall 30.3
teacher 29.6
house 26.8
modern 26.6
home 25.5
design 24.8
indoors 22.9
dining 21.9
wood 20.9
chairs 20.6
floor 20.5
decor 20.3
indoor 20.1
inside 19.3
educator 18.8
empty 18
professional 17.9
building 17.4
glass 16.3
kitchen 16.3
style 16.3
office 15.9
person 15.6
luxury 15.4
student 15.4
dinner 15.2
contemporary 15.1
architecture 14.8
window 14.7
food 14.5
light 14
cafeteria 13.5
lamp 13.4
decoration 13
seat 12.8
tables 12.8
residential 12.5
stool 11.9
counter 11.8
comfortable 11.5
bar 11.1
structure 10.9
lifestyle 10.8
center 10.8
people 10.6
sofa 10.5
hotel 10.5
decorate 10.5
desk 10.4
meeting 10.4
elegance 10.1
eat 10.1
lunch 10
stove 9.8
business 9.7
wooden 9.7
lighting 9.7
couch 9.7
sitting 9.5
man 9.4
nobody 9.3
coffee 9.3
service 9.3
drink 9.2
adult 8.7
enrollee 8.7
education 8.7
work 8.6
elegant 8.6
living 8.5
life 8.4
occupation 8.3
plant 8.2
stylish 8.1
group 8.1
businessman 7.9
drawer 7.9
upscale 7.9
cabinet 7.9
oven 7.9
conference 7.8
residence 7.8
carpet 7.8
party 7.7
class 7.7
wall 7.7
relax 7.6
communication 7.6
smiling 7.2

Google
created on 2019-06-07

Room 82.6
Classroom 75.2
Class 75.1
Building 53.4

Microsoft
created on 2019-06-07

indoor 99.8
wall 99.1
person 94.2
room 92.7
ceiling 91.2
school 83.4
clothing 76.5
library 75.8
building 72.1
classroom 63.8
people 59.1
table 52.6
several 21.8
furniture 20.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Happy 45.1%
Calm 46.7%
Surprised 45.1%
Angry 45.2%
Sad 52.5%
Confused 45.1%
Disgusted 45.3%

AWS Rekognition

Age 9-14
Gender Female, 50.5%
Surprised 45.1%
Calm 45.2%
Happy 45.1%
Confused 45.1%
Sad 54.1%
Disgusted 45.1%
Angry 45.2%

AWS Rekognition

Age 10-15
Gender Female, 52.9%
Sad 48.9%
Disgusted 45.4%
Calm 46.9%
Confused 45.8%
Happy 45.9%
Angry 46.3%
Surprised 45.9%

AWS Rekognition

Age 27-44
Gender Male, 52.4%
Angry 45.2%
Surprised 45.2%
Calm 46.8%
Sad 51.8%
Disgusted 45.3%
Confused 45.2%
Happy 45.5%

AWS Rekognition

Age 48-68
Gender Female, 53.3%
Sad 50.8%
Angry 45.2%
Calm 46.2%
Disgusted 45.1%
Surprised 45.1%
Confused 45.1%
Happy 47.4%

AWS Rekognition

Age 14-23
Gender Male, 52.2%
Angry 46.9%
Happy 47.4%
Calm 47.1%
Surprised 45.3%
Disgusted 45.3%
Confused 45.2%
Sad 47.8%

AWS Rekognition

Age 14-25
Gender Female, 52.3%
Sad 54%
Happy 45.1%
Angry 45.2%
Disgusted 45.1%
Surprised 45.1%
Confused 45.1%
Calm 45.5%

AWS Rekognition

Age 14-25
Gender Female, 51.4%
Disgusted 45%
Happy 45.1%
Sad 54.1%
Confused 45.1%
Angry 45.1%
Surprised 45.1%
Calm 45.4%

AWS Rekognition

Age 30-47
Gender Male, 50.1%
Sad 49.2%
Disgusted 45.4%
Angry 45.7%
Happy 46.2%
Confused 45.7%
Calm 46.9%
Surprised 45.8%

AWS Rekognition

Age 19-36
Gender Female, 54.6%
Angry 47%
Sad 46.6%
Calm 50.4%
Happy 45.2%
Surprised 45.2%
Disgusted 45.3%
Confused 45.4%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Happy 49.6%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Angry 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Confused 49.6%
Happy 49.5%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Sad 49.6%
Calm 50.1%

AWS Rekognition

Age 19-36
Gender Female, 50.7%
Angry 45.7%
Sad 48.2%
Confused 45.6%
Disgusted 45.4%
Happy 46.7%
Surprised 46.6%
Calm 46.8%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Surprised 49.5%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Disgusted 49.5%
Confused 49.5%
Sad 50.2%

AWS Rekognition

Age 45-65
Gender Female, 50.1%
Confused 49.6%
Angry 49.7%
Sad 49.6%
Calm 49.7%
Disgusted 49.8%
Surprised 49.6%
Happy 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.2%
Calm 50%
Sad 49.8%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.5%

AWS Rekognition

Age 10-15
Gender Female, 52.9%
Confused 46.1%
Angry 45.5%
Disgusted 45.4%
Sad 48.2%
Happy 45.6%
Surprised 45.5%
Calm 48.8%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Happy 49.7%
Sad 49.6%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Disgusted 49.7%
Angry 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.1%
Disgusted 49.5%
Calm 49.7%
Happy 49.5%
Sad 50.1%
Confused 49.6%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 50%
Angry 49.6%
Happy 49.5%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50%
Sad 49.9%
Angry 49.7%
Happy 49.5%
Calm 49.5%
Surprised 49.6%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Angry 49.6%
Disgusted 49.6%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Angry 49.5%
Sad 50.4%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 49.7%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 50.1%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 50.4%
Calm 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Surprised 49.6%
Angry 49.6%
Happy 49.7%
Calm 49.8%
Sad 49.8%
Disgusted 49.6%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Calm 49.9%
Surprised 49.7%
Confused 49.6%
Sad 49.6%
Happy 49.5%
Disgusted 49.5%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Female, 50%
Confused 49.6%
Sad 50%
Disgusted 49.5%
Calm 49.7%
Surprised 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Calm 49.6%
Surprised 49.6%
Disgusted 49.6%
Happy 49.6%
Sad 49.8%
Angry 49.6%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Angry 49.6%
Surprised 49.5%
Sad 49.7%
Confused 49.5%
Calm 50%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Angry 49.6%
Disgusted 49.5%
Happy 49.5%
Surprised 49.5%
Sad 50.3%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Happy 49.5%
Surprised 49.6%
Angry 49.7%
Sad 50.1%
Confused 49.5%
Calm 49.6%
Disgusted 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Surprised 49.6%
Angry 49.5%
Disgusted 49.6%
Confused 49.6%
Happy 49.6%
Sad 49.6%
Calm 50%

AWS Rekognition

Age 10-15
Gender Female, 50.3%
Calm 50.1%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Sad 49.6%
Angry 49.5%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50%
Disgusted 49.6%
Surprised 49.5%
Angry 50.3%
Confused 49.5%
Sad 49.6%
Happy 49.5%
Calm 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.4%
Sad 49.9%
Confused 49.6%
Happy 49.5%
Disgusted 49.5%
Calm 49.6%
Surprised 49.5%
Angry 49.9%

Feature analysis

Amazon

Person 99.1%

Categories