Human Generated Data

Title

Charity, Hospitals: Belgium. Louvain. Infirmerie: Public Charitable Institutions, Louvain, Belgium: Infirmary. Warming 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, 3.2002.566.1

Human Generated Data

Title

Charity, Hospitals: Belgium. Louvain. Infirmerie: Public Charitable Institutions, Louvain, Belgium: Infirmary. Warming 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, 3.2002.566.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 99.4
Human 99.4
Person 99.1
Person 98.6
Person 98.3
Person 98.3
Person 98
Person 97
Person 96.8
Person 96.3
Person 95.6
Person 82.3
Room 78.6
Indoors 78.6
Clinic 76.3
Chair 70.3
Furniture 70.3
Person 68
Person 66
Jury 57.2
School 56.3
Classroom 56.3
Court 56.3

Clarifai
created on 2019-06-07

people 99.9
group 99.3
many 99
adult 98.4
group together 97.6
administration 96.8
leader 95.8
several 93.7
man 93.5
woman 92.8
furniture 90.6
wear 87.8
military 86.5
room 85.3
child 83.8
education 81.4
indoors 81.1
sit 80.9
chair 79.6
outfit 79

Imagga
created on 2019-06-07

room 57.2
interior 40.7
classroom 36.9
home 31.9
table 31.6
chair 26.5
indoors 25.5
house 24.2
people 17.8
furniture 16.8
decor 16.8
musical instrument 16.3
brass 16.2
modern 16.1
glass 15.5
person 15.5
luxury 15.4
teacher 15
inside 14.7
nurse 14.4
man 14.1
restaurant 14.1
window 13.7
indoor 13.7
wind instrument 13.6
wood 13.3
decoration 13.1
design 12.9
sitting 12
life 11.2
happiness 11
smiling 10.8
kitchen 10.8
adult 10.7
family 10.7
comfortable 10.5
lamp 10.5
dining 10.5
women 10.3
elegant 10.3
floor 10.2
dinner 10.1
elegance 10.1
student 9.7
couple 9.6
celebration 9.6
happy 9.4
lifestyle 9.4
light 9.4
male 9.2
relaxation 9.2
educator 9.1
blackboard 9.1
iron lung 9.1
cheerful 8.9
style 8.9
desk 8.9
work 8.7
love 8.7
apartment 8.6
party 8.6
architecture 8.6
men 8.6
food 8.5
domestic 8.1
empty 7.7
hotel 7.6
communication 7.6
togetherness 7.5
professional 7.5
drink 7.5
hall 7.4
wine 7.4
new 7.3
respirator 7.2
stylish 7.2
cabinet 7.2
day 7.1
wooden 7

Google
created on 2019-06-07

Photograph 95.8
Snapshot 83.6
Vintage clothing 79.8
Room 74.4
Black-and-white 56.4
Furniture 53.3
Chair 51.3
Workhouse 50.5

Microsoft
created on 2019-06-07

indoor 97.3
wall 97.1
clothing 93.9
person 92.4
house 86.7
ceiling 81.8
woman 67.9
old 51.9
room 41.2
several 13.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 57-77
Gender Male, 52.5%
Happy 45.2%
Angry 45.1%
Calm 54%
Sad 45.3%
Confused 45.3%
Disgusted 45%
Surprised 45.1%

AWS Rekognition

Age 45-65
Gender Female, 50.6%
Surprised 45.8%
Disgusted 45.4%
Sad 47.4%
Angry 45.9%
Confused 45.5%
Calm 48%
Happy 47%

AWS Rekognition

Age 45-63
Gender Female, 51.3%
Disgusted 45.2%
Confused 45.5%
Angry 45.3%
Calm 50.7%
Sad 47.6%
Surprised 45.3%
Happy 45.3%

AWS Rekognition

Age 48-68
Gender Male, 50.6%
Disgusted 45.2%
Angry 45.7%
Surprised 45.3%
Happy 47.8%
Sad 47.5%
Calm 48.2%
Confused 45.3%

AWS Rekognition

Age 20-38
Gender Female, 53.7%
Angry 45.9%
Calm 45.5%
Happy 49%
Sad 45.5%
Disgusted 47.5%
Surprised 45.9%
Confused 45.7%

AWS Rekognition

Age 27-44
Gender Male, 50.3%
Happy 49.5%
Angry 49.6%
Calm 50%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Sad 49.8%

AWS Rekognition

Age 35-55
Gender Female, 50.5%
Confused 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 49.7%
Happy 50.1%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.3%
Calm 49.8%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%
Angry 49.6%
Sad 50%
Confused 49.5%

AWS Rekognition

Age 48-68
Gender Female, 50%
Sad 49.6%
Calm 49.6%
Angry 49.6%
Disgusted 49.8%
Confused 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 29-45
Gender Male, 50.4%
Sad 49.9%
Calm 49.8%
Angry 49.6%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.6%
Sad 50%
Disgusted 49.6%
Calm 49.6%
Happy 49.6%
Surprised 49.6%
Angry 49.6%

AWS Rekognition

Age 48-68
Gender Female, 51.8%
Calm 45.7%
Happy 45.4%
Disgusted 51.9%
Surprised 45.2%
Angry 45.5%
Sad 45.7%
Confused 45.7%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.2%
Confused 49.6%
Disgusted 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Confused 49.5%
Happy 49.6%
Calm 50.2%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Angry 49.6%
Surprised 49.6%
Sad 49.6%
Confused 49.5%
Happy 49.6%
Calm 49.8%
Disgusted 49.8%

AWS Rekognition

Age 16-27
Gender Female, 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.8%
Happy 49.5%
Angry 49.5%
Sad 50.2%

Feature analysis

Amazon

Person 99.4%
Chair 70.3%

Categories

Imagga

interior objects 98.4%