Human Generated Data

Title

Marriage Feast at Cana

Date

1670

People

Artist: Melchior Küsel, German 1626 - 1683

Artist after: Johann Wilhelm Baur, German 1607 - 1641

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, S11.84.2

Human Generated Data

Title

Marriage Feast at Cana

People

Artist: Melchior Küsel, German 1626 - 1683

Artist after: Johann Wilhelm Baur, German 1607 - 1641

Date

1670

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, S11.84.2

Machine Generated Data

Tags

Amazon
created on 2019-04-03

Art 97.9
Painting 97.9
Human 95
Drawing 93.9
Person 92.4
Person 85
Sketch 81.1
Person 78
Person 72.3
Person 71.8
Person 71.5
Person 58.6
Person 52.7
Person 50.7
Person 44.3

Clarifai
created on 2018-03-23

people 100
print 100
group 99.8
many 99.8
engraving 99.6
illustration 99.6
adult 99.2
art 99.1
cavalry 99
man 98.3
lithograph 97.9
etching 95.9
administration 95.4
crowd 95.4
military 94.9
weapon 94.8
soldier 93.6
group together 93
home 91.5
slavery 90.1

Imagga
created on 2018-03-23

sketch 100
drawing 100
representation 89.1
architecture 40.5
building 37.2
city 25
travel 24.7
landmark 24.4
old 23.7
vintage 21.5
history 21.5
tourism 20.6
tower 19.7
grunge 19.6
ancient 19
historic 18.3
art 17.6
sky 16.6
retro 15.6
culture 14.5
palace 13.9
antique 13.9
religion 13.4
paper 13.3
urban 13.1
monument 13.1
famous 13
structure 12.9
house 12.8
stone 12.7
facade 12
design 11.8
cathedral 11.6
statue 11.6
england 11.4
historical 11.3
church 11.1
traditional 10.8
dome 10.6
sculpture 10.5
old fashioned 10.5
column 9.9
wall 9.9
texture 9.7
window 9.2
snow 9.1
pattern 8.9
scene 8.7
tourist 8.2
decoration 8.1
castle 7.8
gate 7.8
us 7.7
money 7.7
frame 7.5
landscape 7.4
style 7.4
exterior 7.4
letter 7.3
temple 7.3
color 7.2
dirty 7.2
black 7.2

Google
created on 2018-03-23

Microsoft
created on 2018-03-23

old 47.7
altar 10.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 35-52
Gender Male, 50.1%
Disgusted 49.5%
Surprised 49.6%
Angry 49.8%
Happy 49.7%
Calm 49.7%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.2%
Disgusted 49.5%
Calm 50%
Confused 49.6%
Happy 49.5%
Surprised 49.6%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50%
Calm 49.6%
Confused 49.5%
Happy 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 50.2%
Angry 49.5%

AWS Rekognition

Age 11-18
Gender Male, 50.2%
Surprised 49.5%
Angry 49.6%
Disgusted 49.6%
Happy 49.6%
Confused 49.6%
Sad 49.7%
Calm 50%

AWS Rekognition

Age 14-25
Gender Female, 50.5%
Angry 49.5%
Calm 50.3%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Sad 49.6%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Disgusted 49.8%
Angry 49.8%
Happy 49.5%
Sad 49.7%
Confused 49.6%
Calm 49.6%
Surprised 49.6%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Calm 49.6%
Disgusted 49.6%
Surprised 49.6%
Confused 49.5%
Sad 50%
Angry 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 30-47
Gender Male, 50.4%
Confused 49.5%
Angry 49.7%
Sad 49.7%
Calm 49.6%
Surprised 49.5%
Disgusted 49.9%
Happy 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.4%
Disgusted 49.6%
Sad 49.9%
Calm 49.6%
Angry 49.7%
Surprised 49.5%
Happy 49.5%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Sad 49.6%
Confused 49.6%
Disgusted 49.7%
Happy 49.6%
Angry 49.7%
Calm 49.8%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50.4%
Surprised 49.5%
Happy 49.7%
Sad 49.9%
Confused 49.5%
Calm 49.8%
Disgusted 49.6%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.5%
Angry 49.6%
Confused 49.6%
Happy 49.6%
Disgusted 49.6%
Surprised 49.5%
Calm 49.6%
Sad 50.1%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.7%
Disgusted 49.6%
Angry 49.6%
Happy 49.5%
Calm 49.9%
Surprised 49.5%
Confused 49.6%

AWS Rekognition

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

Feature analysis

Amazon

Painting 97.9%
Person 92.4%

Captions

Microsoft
created on 2018-03-23

an old photo of a church 80.4%
old photo of a church 76.3%
a close up of an old building 76.2%

Text analysis

Amazon

Melchior
Tusell
Sac
IWBaue
Prurlegio
Cas
IWBaue iny Cum Prurlegio Sac Cas Ma Melchior Tusell fecit. JZ
Ma
JZ
Cum
fecit.
iny