Human Generated Data

Title

Charity, Hospitals: Belgium. Louvain. Infirmerie: Public Charitable Institutions, Louvain, Belgium: Infirmary.: Interior Façade.

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, 3.2002.842.1

Human Generated Data

Title

Charity, Hospitals: Belgium. Louvain. Infirmerie: Public Charitable Institutions, Louvain, Belgium: Infirmary.: Interior Façade.

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, 3.2002.842.1

Machine Generated Data

Tags

Amazon
created on 2019-06-07

Person 97.4
Human 97.4
Person 94.4
Person 93.5
Military Uniform 92.8
Military 92.8
Person 92.4
Person 90.4
People 88.7
Person 88.4
Armored 80.3
Army 80.3
Person 78.2
Person 77.7
Person 77.5
Person 76.8
Crowd 74.7
Clothing 72.2
Apparel 72.2
Person 69.5
Officer 66
Soldier 63.3
Plant 61.7
Troop 59.2

Clarifai
created on 2019-06-07

no person 97.7
people 96.4
group 95.9
architecture 95.4
home 95
building 91.8
many 87.9
religion 86.6
military 84.6
outdoors 84.2
travel 84.1
war 83.8
town 83.6
street 81.5
house 80.7
church 79.6
art 79.2
tree 78.9
group together 78.6
adult 77.8

Imagga
created on 2019-06-07

palace 58.3
architecture 56.8
castle 56
building 48.4
house 36.3
ancient 32.9
fortification 32.4
history 32.3
structure 32.1
city 30.8
old 30.7
historic 30.3
tower 29.8
university 27.5
tourism 27.3
travel 26.1
stone 25.4
medieval 25
roof 22.2
landmark 21.7
sky 21.6
defensive structure 21.4
town 20.5
church 20.4
tourist 20
fortress 19.9
brick 19.1
wall 19.1
historical 17.9
residence 17
famous 16.8
center 16.4
window 15.8
cathedral 15.6
home 15.2
religion 14.4
monument 14
construction 13.7
culture 13.7
village 13.5
windows 13.5
dwelling 12
vacation 11.5
england 11.5
landscape 11.2
tree 10.9
saint 10.6
buildings 10.4
century 9.8
urban 9.6
destination 9.4
place 9.3
river 8.9
fort 8.8
houses 8.7
entrance 8.7
heritage 8.7
architectural 8.7
residential 8.6
estate 8.6
cityscape 8.5
facade 8.5
religious 8.5
summer 8.4
housing 7.9
antique 7.8
st 7.8
exterior 7.4
tile 7.3
square 7.3
scenery 7.2
trees 7.1
cemetery 7
scenic 7
balcony 7

Google
created on 2019-06-07

Photograph 94.8
House 93.4
Home 90.8
Property 87.5
Building 85.6
Architecture 80.4
Almshouse 76.8
History 75.2
Tree 74.7
Residential area 71.8
Cottage 69.2
Historic house 68.4
Estate 65.3
Roof 62
Monochrome 60.1
Facade 59.4
Plant 58.5
Turret 58.5
Black-and-white 56.4
Steeple 56.1

Microsoft
created on 2019-06-07

outdoor 99.6
tree 98
window 96.8
house 96.6
building 88.5
sky 82.2
black and white 76
old 62

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 45-65
Gender Male, 50.4%
Angry 49.6%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Happy 49.9%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Confused 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.7%
Sad 50.1%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 49.8%
Calm 49.5%
Angry 49.6%
Happy 49.9%
Disgusted 49.5%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 35-53
Gender Female, 50%
Disgusted 49.6%
Angry 49.7%
Sad 49.6%
Happy 49.5%
Calm 50%
Surprised 49.6%
Confused 49.5%

AWS Rekognition

Age 60-90
Gender Female, 50.4%
Angry 49.5%
Happy 49.7%
Disgusted 49.9%
Sad 49.7%
Confused 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.4%
Calm 49.6%
Angry 49.5%
Confused 49.5%
Surprised 49.5%
Sad 50.2%
Happy 49.6%
Disgusted 49.5%

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Happy 49.6%
Angry 50.2%
Surprised 49.5%
Disgusted 49.5%
Confused 49.5%
Calm 49.5%
Sad 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.1%
Angry 49.7%
Sad 49.7%
Surprised 49.6%
Confused 49.5%
Happy 49.6%
Calm 49.9%
Disgusted 49.5%

AWS Rekognition

Age 10-15
Gender Female, 50.5%
Surprised 49.5%
Calm 49.5%
Sad 49.5%
Happy 49.6%
Confused 49.6%
Angry 49.7%
Disgusted 50%

AWS Rekognition

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

AWS Rekognition

Age 45-63
Gender Female, 50.1%
Calm 49.5%
Confused 49.5%
Happy 50%
Disgusted 49.6%
Sad 49.8%
Angry 49.5%
Surprised 49.6%

AWS Rekognition

Age 48-68
Gender Female, 50.1%
Confused 49.5%
Sad 49.6%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Angry 49.6%
Calm 50.2%

AWS Rekognition

Age 35-52
Gender Female, 50%
Happy 49.5%
Disgusted 49.5%
Sad 49.9%
Angry 49.9%
Confused 49.5%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 35-52
Gender Female, 50.1%
Happy 49.5%
Surprised 49.5%
Sad 50.3%
Confused 49.5%
Disgusted 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.5%
Sad 49.8%
Happy 49.5%
Calm 50%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 50.3%
Calm 49.5%
Sad 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Calm 49.8%
Disgusted 49.5%
Sad 49.8%
Happy 49.7%
Surprised 49.5%
Angry 49.7%
Confused 49.5%

Feature analysis

Amazon

Person 97.4%

Categories