Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Asylum for Orphan Boys and Aged Men.: Dining Room of the Orphans.
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, 3.2002.624.1

Human Generated Data

Title

Charity, Children: Belgium. Louvain. Orphan Asylums: Public Charitable Institutions, Louvain, Belgium: Asylum for Orphan Boys and Aged Men.: Dining Room of the Orphans.

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, 3.2002.624.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Restaurant 99.9
Chair 98.6
Furniture 98.6
Human 97.9
Person 97.9
Person 96.5
Person 96
Person 94.5
Person 94.5
Person 93.9
Person 93.1
Cafeteria 92.8
Person 91.5
Person 91.2
Indoors 90.8
Person 88.1
Room 85.2
Person 85
Person 84.5
Chair 82.6
Person 79.3
Person 76.6
Waiting Room 71.6
Cafe 71.6
Table 71.2
Dining Table 71.2
Reception 69.6
Reception Room 67.1
Food Court 65.7
Food 65.7
Meal 63.6
Building 63.4
Housing 63.4
Chair 62.2
Person 61.1
Floor 59.6
Person 59.5
Hall 58.1
Dining Room 57.2
Person 56.2
Chair 51.4

Clarifai
created on 2019-06-07

people 100
many 99.9
group 99.9
group together 99.7
furniture 99
adult 98.1
chair 97.9
administration 97.8
leader 97.7
military 96.4
room 96.2
man 95.8
several 94.5
home 94
war 93.7
seat 91.8
education 91.5
woman 89.6
vehicle 89.5
crowd 87.2

Imagga
created on 2019-06-07

sketch 24.5
city 21.6
travel 19.7
architecture 19.2
building 17.9
winter 17.9
drawing 17.5
shopping cart 16.9
water 16.7
snow 16.1
sky 14
urban 14
handcart 13.3
sea 13.3
old 13.2
wheeled vehicle 12.9
representation 12.8
house 12.8
cold 12
landscape 11.9
ocean 11.8
tourism 11.5
business 11.5
people 11.1
musical instrument 11.1
beach 11.1
tourist 10.9
graffito 10.8
landmark 10.8
transportation 10.8
vacation 10.6
structure 10.4
scene 10.4
construction 10.3
black 10.2
bowed stringed instrument 9.7
work 9.5
cello 9.3
ice 9.2
vintage 9.1
coast 9
outdoors 9
history 8.9
room 8.9
interior 8.8
sand 8.7
decoration 8.5
outdoor 8.4
summer 8.4
stringed instrument 8.3
historic 8.2
scenery 8.1
river 8
hall 7.9
wall 7.7
profit 7.6
support 7.6
chair 7.6
tool 7.6
walk 7.6
relax 7.6
bridge 7.6
power 7.5
window 7.5
floor 7.4
economy 7.4
transport 7.3
group 7.2
rural 7

Google
created on 2019-06-07

Room 83.1
Building 82.4
Snapshot 82
Architecture 65.5
History 64.5
Furniture 56.7
Black-and-white 56.4
Vintage clothing 55.9
Monochrome 54.4
Hall 50

Microsoft
created on 2019-06-07

furniture 89.6
person 87.3
old 83.2
table 78.6
chair 70.3
black 65.5
white 61.4
building 54.5
dining room 10.2

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Disgusted 49.5%
Surprised 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.9%
Sad 50%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Disgusted 49.5%
Angry 49.5%
Surprised 49.5%
Sad 50.3%
Calm 49.5%
Confused 49.5%
Happy 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Disgusted 49.5%
Surprised 49.6%
Happy 49.6%
Calm 49.9%
Angry 49.6%
Sad 49.9%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Disgusted 49.5%
Confused 49.6%
Happy 50%
Calm 49.6%
Surprised 49.5%
Angry 49.6%
Sad 49.7%

AWS Rekognition

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

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%
Happy 49.5%
Sad 50.5%
Surprised 49.5%

AWS Rekognition

Age 4-9
Gender Female, 54.7%
Angry 45.1%
Surprised 45.1%
Sad 54.2%
Confused 45.1%
Happy 45.3%
Calm 45.2%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Female, 50.2%
Confused 49.6%
Sad 49.9%
Happy 49.6%
Disgusted 49.6%
Surprised 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 49.5%
Angry 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 50.3%
Surprised 49.5%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Angry 49.5%
Happy 49.7%
Confused 49.5%
Disgusted 49.5%
Sad 50.3%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.5%
Surprised 49.5%
Disgusted 49.6%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Happy 50.2%
Sad 49.5%

AWS Rekognition

Age 49-69
Gender Female, 50.1%
Surprised 49.6%
Disgusted 49.5%
Angry 49.6%
Confused 49.6%
Calm 49.7%
Happy 49.8%
Sad 49.6%

AWS Rekognition

Age 9-14
Gender Male, 50.3%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Sad 50.3%
Happy 49.5%
Angry 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 17-27
Gender Female, 50.4%
Surprised 49.6%
Confused 49.5%
Disgusted 49.5%
Angry 49.6%
Calm 49.6%
Happy 49.7%
Sad 50%

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Angry 49.6%
Calm 49.6%
Sad 50%
Confused 49.5%
Disgusted 49.6%
Surprised 49.6%
Happy 49.7%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.5%
Angry 49.8%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.6%
Sad 49.8%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Confused 49.6%
Calm 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 50.2%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Angry 49.7%
Calm 49.7%
Happy 49.5%
Sad 49.9%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Confused 49.6%
Calm 49.7%
Happy 49.7%
Disgusted 49.5%
Sad 49.8%
Angry 49.7%
Surprised 49.5%

AWS Rekognition

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

AWS Rekognition

Age 57-77
Gender Female, 50.5%
Sad 50%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 49.8%
Surprised 49.5%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Angry 49.7%
Sad 50.2%
Surprised 49.5%
Confused 49.6%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Sad 50.2%
Surprised 49.5%
Disgusted 49.5%
Calm 49.6%
Angry 49.5%
Happy 49.5%
Confused 49.7%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Calm 49.5%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.3%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Sad 49.6%
Angry 49.5%
Happy 49.5%
Disgusted 49.5%
Calm 49.9%
Surprised 49.6%
Confused 49.9%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Calm 50.1%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.7%
Angry 49.5%
Confused 49.7%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Surprised 49.6%
Sad 49.7%
Disgusted 49.5%
Calm 50%
Happy 49.5%
Angry 49.6%
Confused 49.6%

AWS Rekognition

Age 17-27
Gender Male, 50.4%
Happy 49.5%
Disgusted 49.6%
Sad 49.9%
Angry 49.7%
Confused 49.6%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

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

Feature analysis

Amazon

Chair 98.6%
Person 97.9%

Categories

Imagga

interior objects 96.3%
streetview architecture 2%