Human Generated Data

Title

Two Knights in Architectural Setting

Date

1575

People

-

Classification

Stained Glass

Credit Line

Harvard Art Museums/Fogg Museum, Bequest of Nettie G. Naumburg, 1930.484

Human Generated Data

Title

Two Knights in Architectural Setting

Date

1575

Classification

Stained Glass

Credit Line

Harvard Art Museums/Fogg Museum, Bequest of Nettie G. Naumburg, 1930.484

Machine Generated Data

Tags

Amazon
created on 2022-06-11

Art 98.1
Stained Glass 93.5
Painting 92.3
Modern Art 59.8

Clarifai
created on 2023-10-29

saint 99.7
church 99.6
god 99.3
art 99.3
religion 99.2
stained glass 98.5
religious 97.8
cathedral 97.6
holy 97.2
book 96.7
chapel 96.3
spirituality 95.7
painting 94.5
prayer 94.5
aura 94.1
religious belief 93.9
worship 93.2
cross 92.2
sacred 91.6
symbol 90.5

Imagga
created on 2022-06-11

pinball machine 81.6
game equipment 65.4
comic book 48.1
equipment 43.3
religion 30.5
art 24.5
church 23.1
religious 22.5
window 22.2
old 20.9
culture 20.5
gold 19.7
print media 19.2
temple 19
decoration 18
ancient 17.3
colorful 17.2
architecture 17.2
traditional 16.6
cathedral 16.6
holy 16.4
antique 15.6
travel 15.5
prayer 15.4
history 15.2
design 14.7
stained 14.4
faith 14.4
god 14.3
style 14.1
glass 14
sculpture 13.8
pray 13.6
spiritual 13.4
color 13.3
wood 13.3
golden 12.9
catholic 12.6
door 12.5
detail 12.1
wooden 11.4
shop 11.4
pattern 10.9
building 10.8
tourism 10.7
saint 10.6
statue 10.5
historical 10.3
east 10.3
historic 10.1
decorative 10
tourist 10
belief 9.7
worship 9.7
china 9.4
slot machine 9.2
peace 9.1
texture 9
sacred 8.8
machine 8.7
oriental 8.5
house 8.4
vintage 8.3
ornate 8.2
light 8
interior 8
entrance 7.7
money 7.7
monument 7.5
famous 7.4
vacation 7.4

Google
created on 2022-06-11

Microsoft
created on 2022-06-11

text 87.4
church 77.3
stained glass 71
different 47
several 11.6

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 35-43
Gender Male, 99.5%
Calm 99.7%
Surprised 6.3%
Fear 5.9%
Sad 2.2%
Happy 0.1%
Confused 0%
Disgusted 0%
Angry 0%

AWS Rekognition

Age 21-29
Gender Female, 99.8%
Angry 59.9%
Surprised 16.8%
Confused 7.5%
Fear 6.8%
Calm 5.9%
Happy 4.4%
Disgusted 3.9%
Sad 3.4%

AWS Rekognition

Age 37-45
Gender Male, 99.8%
Calm 49.8%
Fear 23.8%
Angry 10.1%
Surprised 7.9%
Sad 7.6%
Confused 2%
Happy 1.1%
Disgusted 0.9%

AWS Rekognition

Age 6-16
Gender Female, 83.1%
Fear 82.4%
Calm 26.3%
Surprised 6.9%
Sad 3.4%
Happy 2.2%
Angry 1.8%
Disgusted 0.5%
Confused 0.4%

Microsoft Cognitive Services

Age 22
Gender Female

Feature analysis

Amazon

Painting 92.3%

Categories

Imagga

interior objects 89.5%
paintings art 8.9%

Text analysis

Amazon

D.
L.
DieStaff
Thun1575.

Google

9950 DaY Die Staff D. EXCE WWW ND VISTOC tellexitat TI Chăm 575. L.
9950
DaY
Die
Staff
D.
EXCE
WWW
ND
VISTOC
tellexitat
TI
Chăm
575
.
L.