Human Generated Data

Title

Charity, Children: United States. New York. Syracuse. Onandaga Orphan Asylum: Orphan Asylum of Onondaga County, N.Y.: Industrial Class
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, 3.2002.676.2

Human Generated Data

Title

Charity, Children: United States. New York. Syracuse. Onandaga Orphan Asylum: Orphan Asylum of Onondaga County, N.Y.: Industrial Class

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, 3.2002.676.2

Machine Generated Data

Tags

Amazon
created on 2019-06-07

School 100
Indoors 100
Room 100
Classroom 100
Furniture 99.7
Chair 99.7
Human 99.1
Person 99.1
Person 98.8
Chair 98.7
Person 98.2
Person 98
Person 97
Chair 96.1
Person 95
Person 94.8
Person 92.3
Person 89.8
Person 88.2
Person 86.5
Person 63.3
Person 46.7

Clarifai
created on 2019-06-07

people 100
many 99.4
group 99.4
group together 98.9
administration 98.7
adult 98.7
furniture 98.6
education 98.1
room 97.2
several 96.3
school 96.3
desk 95.6
classroom 95.1
leader 94.7
teacher 94.5
war 94.5
man 94.2
woman 92.5
child 91.9
chair 91.9

Imagga
created on 2019-06-07

classroom 100
room 100
interior 50.4
table 42.6
chair 41
furniture 27.9
house 27.6
home 27.1
modern 26.6
indoors 24.6
design 23.6
floor 23.2
restaurant 20.4
decor 20.3
chairs 18.6
inside 18.4
wood 18.3
dining 18.1
indoor 16.4
kitchen 16.1
style 15.6
window 15.6
glass 15.6
empty 15.5
office 15.4
architecture 14.8
seat 14.7
light 14.7
people 14.5
comfortable 14.3
man 14.1
dinner 13.5
residential 13.4
drink 13.4
contemporary 13.2
decoration 13
teacher 12.7
lamp 12.4
person 12.2
tables 11.8
desk 11.6
food 11.5
men 11.2
center 11.2
luxury 11.1
work 11
elegance 10.9
stool 10.9
male 10.6
class 10.6
apartment 10.5
living 10.4
computer 10.4
education 10.4
meeting 10.4
business 10.3
wall 10.3
building 10.1
eat 10.1
lighting 9.7
school 9.5
hall 9.5
lifestyle 9.4
life 9.4
service 9.3
stylish 9
counter 9
plant 9
group 8.9
sofa 8.6
hotel 8.6
lunch 8.6
learning 8.5
coffee 8.3
student 8.3
bar 8.3
domestic 8.1
cabinets 7.9
drawer 7.9
refrigerator 7.9
stove 7.9
urban 7.9
oven 7.8
conference 7.8
nobody 7.8
space 7.8
corporate 7.7
sitting 7.7
decorate 7.6
relax 7.6
professional 7.5
city 7.5
study 7.5
place 7.4
occupation 7.3
cafeteria 7.3
success 7.2
blackboard 7.2
working 7.1
businessman 7.1

Google
created on 2019-06-07

Room 88.3
Classroom 88
Class 79.1
Office 64.6
Table 63.8
Building 61.5
History 57.6
Black-and-white 56.4
Furniture 53.3
State school 52.6

Microsoft
created on 2019-06-07

indoor 97.1
table 95.8
furniture 94.3
floor 93.9
library 92
classroom 89.5
old 86.8
person 84.8
desk 82.5
white 81.3
black 79.1
whiteboard 77.1
chair 73.3
office 66.4
work 62.7
clothing 60.7
vintage 54
office building 52
building 50.3
cluttered 18.7

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 38-59
Gender Female, 51.7%
Surprised 45.6%
Angry 47.4%
Sad 49.7%
Disgusted 45.4%
Happy 45.9%
Calm 45.5%
Confused 45.6%

AWS Rekognition

Age 20-38
Gender Female, 50.9%
Sad 54.4%
Calm 45.3%
Angry 45.1%
Happy 45%
Disgusted 45%
Confused 45.1%
Surprised 45%

AWS Rekognition

Age 4-7
Gender Male, 54.4%
Surprised 45.3%
Happy 45.5%
Sad 48.6%
Confused 45.4%
Disgusted 45.6%
Angry 46.2%
Calm 48.2%

AWS Rekognition

Age 20-38
Gender Male, 52.9%
Calm 45.8%
Disgusted 45.2%
Sad 52.3%
Happy 45%
Surprised 45.1%
Angry 46.3%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Female, 54.3%
Sad 48.6%
Calm 45.2%
Disgusted 45.9%
Confused 45.2%
Surprised 45.2%
Happy 45.1%
Angry 49.9%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Happy 49.6%
Angry 49.8%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Sad 50%

AWS Rekognition

Age 17-27
Gender Female, 50.8%
Angry 45.8%
Sad 46.4%
Happy 45.7%
Surprised 45.6%
Disgusted 46.3%
Confused 45.3%
Calm 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 45.5%
Angry 45.5%
Confused 45.3%
Surprised 45.1%
Sad 53.3%
Happy 45.2%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.5%
Disgusted 49.6%
Happy 49.5%
Confused 49.6%
Sad 50.1%
Angry 49.6%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.7%
Surprised 49.6%
Confused 49.6%
Angry 49.7%
Sad 49.6%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.4%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.5%
Happy 49.9%
Disgusted 49.6%

Microsoft Cognitive Services

Age 23
Gender Female

Feature analysis

Amazon

Chair 99.7%
Person 99.1%

Categories

Imagga

interior objects 76.6%
events parties 19.6%
food drinks 1.6%
people portraits 1.3%

Text analysis

Amazon

t63
mdtheof
rrpipattid
itin rrpipattid mdtheof
itin
EMLEUR

Google

t63 onlit ida Pmgnes
t63
onlit
ida
Pmgnes