Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Orphan Asylum for Girls.: Workshop.
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, 3.2002.619.1

Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Orphan Asylum for Girls.: Workshop.

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, 3.2002.619.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

School 99.9
Classroom 99.8
Room 99.8
Indoors 99.8
Person 99.2
Human 99.2
Person 98.7
Person 98.5
Person 96.6
Person 96.3
Person 95.7
Person 95.7
Person 95.2
Person 93
Person 90.6
Person 89.2
Person 83.2
Person 82
Person 78.5
Person 73.9
Table 72.4
Furniture 72.4
Person 70.6
Person 66.1
Person 65.3
Lab 58.5
Person 53.2
Person 48.8

Clarifai
created on 2019-06-07

people 100
many 99.6
group 99.3
furniture 99
group together 98.3
administration 97.6
adult 97.1
leader 96.2
room 95.7
chair 95.5
man 91.6
seat 91.2
education 91
several 89.4
woman 89.4
sit 86.4
school 85.3
military 84.4
indoors 81
desk 79.6

Imagga
created on 2019-06-07

room 44.8
interior 38.9
table 33.7
marimba 29.3
chair 27.8
musical instrument 26
percussion instrument 26
house 25.9
home 25.5
indoors 25.5
classroom 22.7
furniture 20.9
decor 20.3
luxury 18
architecture 17.2
inside 16.5
modern 16.1
altar 16
floor 15.8
window 15.7
people 15.6
decoration 15.2
design 15.2
glass 14.8
restaurant 14.7
wood 14.2
teacher 13.9
women 13.4
elegance 13.4
structure 13
life 12.9
comfortable 12.4
person 11.9
indoor 11.9
kitchen 11.6
hall 11.1
apartment 10.5
residential 10.5
lamp 10.5
dining 10.5
scene 10.4
love 10.2
seat 10.2
light 10
family 9.8
style 9.6
celebration 9.6
flowers 9.6
men 9.4
elegant 9.4
domestic 9
shop 8.9
man 8.8
sofa 8.6
sitting 8.6
adult 8.5
business 8.5
catholic 8.4
stringed instrument 8.4
relaxation 8.4
old 8.4
educator 8.2
lifestyle 7.9
violin 7.8
professional 7.8
desk 7.8
nobody 7.8
travel 7.7
hotel 7.6
counter 7.6
fashion 7.5
city 7.5
wedding 7.4
student 7.3
new 7.3
tourist 7.2
food 7.2
holiday 7.2
history 7.1
work 7.1
wooden 7

Google
created on 2019-06-07

Table 84.5
Room 79.1
Furniture 73.8
History 64.5
Class 50.8

Microsoft
created on 2019-06-07

floor 95.3
indoor 94.6
furniture 89.1
person 88.5
old 74.7
clothing 64.3
group 61
table 31.4
dining table 26.8
restaurant 18.1
dining room 12.2

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age 23-38
Gender Female, 50.7%
Sad 50%
Angry 46.4%
Happy 45.3%
Disgusted 45.5%
Calm 47.3%
Surprised 45.3%
Confused 45.2%

AWS Rekognition

Age 26-44
Gender Female, 53.3%
Sad 50.7%
Surprised 45.3%
Calm 47.9%
Disgusted 45.2%
Confused 45.3%
Angry 45.3%
Happy 45.3%

AWS Rekognition

Age 48-68
Gender Female, 54.7%
Disgusted 45.3%
Surprised 45.1%
Confused 45.1%
Sad 51.9%
Happy 45.3%
Calm 47%
Angry 45.2%

AWS Rekognition

Age 23-38
Gender Female, 54.2%
Calm 52%
Surprised 45.2%
Angry 45.5%
Disgusted 45.1%
Happy 45.3%
Confused 45.4%
Sad 46.5%

AWS Rekognition

Age 23-38
Gender Female, 50.9%
Angry 45.7%
Calm 50.5%
Confused 45.2%
Happy 45.5%
Surprised 45.3%
Disgusted 45.6%
Sad 47.2%

AWS Rekognition

Age 26-43
Gender Female, 54%
Disgusted 45.1%
Confused 45.1%
Surprised 45.1%
Calm 46%
Happy 45.1%
Angry 51.9%
Sad 46.7%

AWS Rekognition

Age 19-36
Gender Male, 54.3%
Surprised 45.1%
Angry 45.3%
Sad 46.3%
Disgusted 45.1%
Happy 45.2%
Calm 52.8%
Confused 45.2%

AWS Rekognition

Age 20-38
Gender Female, 51.3%
Angry 47.3%
Confused 45.3%
Disgusted 45.2%
Surprised 45.5%
Calm 46.2%
Sad 50.2%
Happy 45.2%

AWS Rekognition

Age 10-15
Gender Female, 53.3%
Surprised 45.1%
Angry 45.1%
Confused 45.1%
Sad 54.3%
Calm 45.4%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 26-43
Gender Female, 54.4%
Angry 45.3%
Calm 45.7%
Happy 48.1%
Sad 50%
Disgusted 45.5%
Surprised 45.2%
Confused 45.2%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Male, 54.4%
Sad 50.9%
Surprised 45.2%
Disgusted 45.2%
Calm 47.9%
Angry 45.3%
Happy 45.3%
Confused 45.2%

AWS Rekognition

Age 17-27
Gender Male, 50.3%
Happy 49.6%
Angry 49.6%
Calm 49.5%
Sad 50.3%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Happy 49.6%
Calm 50%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Sad 49.5%
Confused 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 50.3%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Calm 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.6%
Confused 49.6%
Calm 49.8%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Calm 49.6%
Angry 49.6%
Confused 49.5%
Surprised 49.6%
Sad 49.9%
Happy 49.7%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Angry 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.6%
Confused 49.5%
Happy 49.8%
Calm 49.9%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Sad 50.3%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 20-38
Gender Female, 51.9%
Disgusted 46.3%
Angry 46.3%
Surprised 45.2%
Sad 51.3%
Calm 45.4%
Confused 45.2%
Happy 45.3%

AWS Rekognition

Age 30-47
Gender Female, 50.1%
Sad 49.9%
Angry 49.6%
Calm 49.7%
Surprised 49.5%
Disgusted 49.7%
Happy 49.6%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.4%
Disgusted 49.5%
Surprised 49.5%
Confused 49.7%
Sad 49.9%
Happy 49.5%
Calm 49.6%
Angry 49.8%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 49.8%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.7%
Confused 49.6%
Sad 49.6%

AWS Rekognition

Age 26-43
Gender Female, 54%
Calm 46.6%
Confused 45.4%
Happy 50.2%
Angry 45.5%
Surprised 45.7%
Disgusted 45.9%
Sad 45.8%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Feature analysis

Amazon

Person 99.2%

Categories

Imagga

interior objects 97.4%
events parties 1.2%