Human Generated Data

Title

William Tell Before Gessler

Date

19th century

People

Artist: Carl Arnold von Gonzenbach, German 1806 - 1895

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R12183

Human Generated Data

Title

William Tell Before Gessler

People

Artist: Carl Arnold von Gonzenbach, German 1806 - 1895

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R12183

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Human 99.1
Person 99.1
Art 99
Painting 99
Person 98.6
Person 87.3
Person 82.7
Person 69.5
Person 65.9
Person 65.5
Person 64
Person 61.9

Clarifai
created on 2019-11-06

people 100
group 99.5
art 99.2
illustration 99.1
print 98.8
adult 97
man 96
many 95.9
engraving 93.4
child 92.1
military 91.6
woman 90.9
painting 90.4
soldier 89.3
weapon 87
war 85.6
wear 85.3
baby 84.8
veil 84.4
cavalry 83.3

Imagga
created on 2019-11-06

sketch 46.6
drawing 39.8
representation 30.1
art 28
old 26.5
daily 25.6
memorial 25.1
brass 25.1
vintage 24.8
sculpture 24.8
statue 23.1
structure 22.9
newspaper 21.3
ancient 20.8
history 18.8
architecture 18.8
stone 17.4
antique 17.2
culture 17.1
grunge 17
product 16.9
money 16.2
symbol 14.8
creation 13.9
cash 13.7
religion 13.4
paper 13.3
bill 13.3
dollar 13
banking 12.9
currency 12.6
retro 12.3
religious 12.2
monument 12.1
letter 11.9
postmark 11.8
stamp 11.6
mail 11.5
one 11.2
aged 10.9
landmark 10.8
black 10.8
postage 10.8
postal 10.8
closeup 10.8
decoration 10.7
bank 10.7
travel 10.6
texture 10.4
historical 10.3
savings 10.3
carving 10.2
church 10.2
man 10.1
envelope 10
city 10
tourism 9.9
close 9.7
detail 9.7
us 9.6
god 9.6
famous 9.3
rich 9.3
finance 9.3
cemetery 9.2
historic 9.2
marble 9
financial 8.9
circa 8.9
building 8.7
loan 8.6
face 8.5
business 8.5
people 8.4
figure 8.3
book jacket 8.2
design 8
museum 7.9
printed 7.9
renaissance 7.9
catholic 7.8
spirituality 7.7
cathedral 7.7
pay 7.7
card 7.7
exchange 7.6
post 7.6
old fashioned 7.6
paint 7.2
screen 7.1
portrait 7.1

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 99.9
person 98.2
clothing 97.1
old 93.9
book 93.6
posing 92.5
drawing 88.2
painting 84.3
man 82.9
black 79.8
group 60.7
vintage 59.8
photograph 58.1
sketch 55.9
clothes 24.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 13-23
Gender Female, 52.5%
Disgusted 45%
Angry 45.8%
Sad 45%
Confused 45%
Happy 45%
Fear 45%
Surprised 45%
Calm 54.1%

AWS Rekognition

Age 32-48
Gender Male, 53.9%
Sad 45.4%
Angry 48.1%
Fear 45.4%
Calm 49.8%
Surprised 45.6%
Disgusted 45.4%
Confused 45.2%
Happy 45.1%

AWS Rekognition

Age 22-34
Gender Female, 53.5%
Fear 50.6%
Angry 45.6%
Sad 45.2%
Happy 45.1%
Confused 45.2%
Disgusted 45.1%
Calm 45.1%
Surprised 48.2%

AWS Rekognition

Age 23-35
Gender Male, 51%
Sad 45.1%
Confused 45.3%
Fear 45.2%
Happy 46.6%
Angry 45.4%
Disgusted 45.4%
Calm 49.2%
Surprised 47.7%

AWS Rekognition

Age 44-62
Gender Male, 54.8%
Sad 45.2%
Confused 45.1%
Fear 45.1%
Happy 45%
Angry 53.4%
Disgusted 45.1%
Calm 45.9%
Surprised 45.1%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Fear 49.5%
Happy 49.5%
Calm 50.1%
Surprised 49.5%
Confused 49.5%
Angry 49.6%
Sad 49.8%
Disgusted 49.5%

AWS Rekognition

Age 37-55
Gender Male, 54.3%
Angry 54.5%
Surprised 45%
Happy 45%
Sad 45%
Calm 45.1%
Confused 45%
Fear 45.2%
Disgusted 45.1%

AWS Rekognition

Age 51-69
Gender Male, 53.6%
Happy 45%
Calm 45%
Sad 45%
Fear 45%
Confused 45%
Angry 55%
Disgusted 45%
Surprised 45%

AWS Rekognition

Age 35-51
Gender Male, 50.4%
Calm 49.5%
Angry 50.4%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.5%

AWS Rekognition

Age 23-35
Gender Female, 54.6%
Surprised 45%
Calm 47.2%
Fear 45.1%
Happy 45%
Disgusted 45%
Sad 52.4%
Angry 45.1%
Confused 45%

AWS Rekognition

Age 13-23
Gender Male, 50%
Calm 49.7%
Angry 49.5%
Happy 50.2%
Disgusted 49.5%
Fear 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 15-27
Gender Male, 52.2%
Disgusted 45.1%
Angry 46.2%
Calm 52.3%
Confused 45.1%
Surprised 45.2%
Happy 45.4%
Fear 45.2%
Sad 45.5%

AWS Rekognition

Age 21-33
Gender Male, 53.1%
Fear 45%
Sad 53.5%
Surprised 45%
Disgusted 45.1%
Calm 45.9%
Confused 45%
Happy 45%
Angry 45.4%

AWS Rekognition

Age 26-42
Gender Male, 50.3%
Fear 49.5%
Happy 49.5%
Calm 50.3%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Angry 49.5%
Confused 49.5%

AWS Rekognition

Age 11-21
Gender Female, 50.2%
Angry 49.5%
Calm 49.6%
Fear 49.6%
Surprised 49.5%
Disgusted 49.5%
Happy 49.6%
Confused 49.5%
Sad 50.1%

AWS Rekognition

Age 36-52
Gender Male, 54.3%
Confused 45%
Happy 45%
Angry 45%
Calm 54.8%
Surprised 45%
Fear 45%
Disgusted 45%
Sad 45.1%

Feature analysis

Amazon

Person 99.1%
Painting 99%

Text analysis

Amazon

ind
mrin
griindlirh
3hr
wissrn:-
swriten
artroffen.
Hlabrhrit
nirht
dic
Mil
irh
gefeblt
.Qun crr wallt 3hr dic Hlabrhrit griindlirh wissrn:- Hem irh mrin ind artroffen. Fuer haitt icb
wallt
Mil diescm swriten Pfeile nirht gefeblt
Fuer
crr
Hem
icb
diescm
Pfeile
haitt
.Qun
SPO

Google

un Herr, wollt hr die Wahrheit grundlich wissen:-Benn ich mein ind getroffen. Euer häut ich Mit diesem weiten Pfeile nicht gefehlt 1.
un
Herr,
wollt
hr
die
grundlich
ind
getroffen.
Euer
ich
diesem
weiten
Pfeile
nicht
gefehlt
1.
Wahrheit
wissen:-Benn
mein
häut
Mit