Human Generated Data

Title

Christ on the Way to Golgotha

Date

19th century

People

Artist: Franz Hanfstaengl, German 1804 - 1877

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G1771

Human Generated Data

Title

Christ on the Way to Golgotha

People

Artist: Franz Hanfstaengl, German 1804 - 1877

Artist after: Paolo Caliari, called Veronese, Italian 1528 - 1588

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, G1771

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 99.4
Human 99.4
Person 97.7
Person 97.1
Art 96.8
Person 92.8
Person 92.4
Painting 89
Person 87.3
Person 85.3
Person 70.8
Person 68.9
Person 64.2
Animal 63.3
Horse 63.3
Mammal 63.3
Duel 58.7
Drawing 58.4
Person 53.9

Clarifai
created on 2019-11-06

people 99.9
illustration 99.3
group 99.3
print 99.2
art 99.2
adult 97.3
man 97
soldier 96.9
military 96.6
engraving 95.9
many 95.6
war 94.4
cavalry 92.6
weapon 92.5
painting 92.4
woman 91.6
leader 91.4
army 89.9
wear 87.8
lithograph 86.9

Imagga
created on 2019-11-06

freight car 43.6
car 35.3
sketch 34.6
drawing 32.7
wheeled vehicle 27.9
vehicle 23.1
old 22.3
grunge 22.1
graffito 21.3
representation 20.8
vintage 19.8
art 19.3
decoration 18.3
retro 15.5
ancient 15.5
aged 15.4
black 15
antique 13.9
man 12.7
history 12.5
city 12.5
letter 11.9
speedway 11.5
architecture 10.9
paint 10.9
sport 10.8
design 10.7
style 10.4
dirty 9.9
building 9.5
racetrack 9.4
conveyance 9.3
house 9.2
texture 9
circa 8.9
postmark 8.9
stamp 8.7
artistic 8.7
mail 8.6
wall 8.5
male 8.5
card 8.5
travel 8.4
window 8.4
frame 8.3
transport 8.2
pattern 8.2
symbol 8.1
transportation 8.1
postage 7.8
historical 7.5
street 7.4
speed 7.3
message 7.3
sculpture 7.3
people 7.2
painting 7.2
cool 7.1
paper 7
person 7

Google
created on 2019-11-06

Microsoft
created on 2019-11-06

text 99.2
person 93.1
book 93
drawing 92.9
horse 89.2
sketch 88.7
cartoon 76.4
posing 75.9
people 67.2
old 66
group 60
clothing 58.6
man 51.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-37
Gender Male, 54%
Disgusted 45%
Sad 45.1%
Fear 45%
Happy 45%
Calm 54.7%
Confused 45%
Angry 45.2%
Surprised 45%

AWS Rekognition

Age 22-34
Gender Male, 54.7%
Disgusted 45%
Fear 45%
Calm 54.8%
Surprised 45%
Happy 45.1%
Confused 45%
Angry 45%
Sad 45%

AWS Rekognition

Age 22-34
Gender Female, 53.1%
Fear 45%
Surprised 45%
Calm 45.5%
Sad 54.2%
Angry 45.2%
Confused 45%
Happy 45%
Disgusted 45%

AWS Rekognition

Age 27-43
Gender Male, 54.7%
Sad 45%
Surprised 45%
Happy 45%
Confused 45%
Fear 45%
Calm 45.4%
Disgusted 45%
Angry 54.4%

AWS Rekognition

Age 22-34
Gender Male, 52.8%
Happy 45.2%
Disgusted 45%
Angry 45.2%
Sad 45.1%
Fear 45.2%
Calm 47.8%
Surprised 51.4%
Confused 45.1%

AWS Rekognition

Age 23-35
Gender Male, 54.4%
Sad 45%
Happy 45%
Angry 50.3%
Fear 45%
Surprised 45%
Calm 45.4%
Disgusted 49.1%
Confused 45%

AWS Rekognition

Age 36-54
Gender Male, 54.8%
Angry 45%
Confused 45%
Fear 45%
Calm 54.9%
Sad 45%
Disgusted 45%
Happy 45%
Surprised 45%

AWS Rekognition

Age 32-48
Gender Male, 54.9%
Confused 45%
Angry 45.1%
Fear 45%
Disgusted 45%
Sad 45%
Happy 45.2%
Calm 54.4%
Surprised 45.3%

AWS Rekognition

Age 29-45
Gender Male, 50.1%
Sad 50.5%
Fear 49.5%
Surprised 49.5%
Confused 49.5%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Disgusted 49.5%

AWS Rekognition

Age 33-49
Gender Male, 54.8%
Happy 45%
Surprised 45.1%
Confused 45%
Disgusted 45%
Fear 45%
Angry 45.6%
Calm 54.2%
Sad 45.1%

AWS Rekognition

Age 26-42
Gender Male, 50.5%
Angry 49.7%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Happy 49.5%
Calm 49.9%
Sad 49.5%
Surprised 49.7%

AWS Rekognition

Age 12-22
Gender Female, 52%
Disgusted 45.2%
Confused 45.1%
Calm 48%
Sad 50.3%
Happy 45%
Fear 45.2%
Surprised 45.1%
Angry 46.1%

AWS Rekognition

Age 25-39
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Calm 49.7%
Angry 50.2%
Sad 49.6%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 21-33
Gender Male, 50.2%
Disgusted 49.5%
Fear 49.5%
Angry 49.5%
Happy 49.5%
Calm 50.4%
Sad 49.6%
Surprised 49.5%
Confused 49.5%

Feature analysis

Amazon

Person 99.4%
Painting 89%
Horse 63.3%

Categories

Imagga

paintings art 95.4%
beaches seaside 2.4%

Text analysis

Amazon

sich
sptacly:
tti
then,
abey
und
BO3A0A
Tlefus abey handle sich tti 331 then, und sptacly: II orthiey u etenlan,
orthiey
handle
Tlefus
iyth
RASIL
331
AIY
CETRISIUE AIY TRI WR RASIL BO3A0A
etenlan,
CETRISIUE
II
e iyth n
n
TRI
u
e
WR

Google

agns aber wnle sith o s thren, md sptach re dnthiey non Tralens rein witht theaid, lant mnehuber pudh ht,mo thee cue inder, 23. glan puue
agns
aber
wnle
sith
o
s
thren,
md
sptach
re
dnthiey
non
Tralens
rein
witht
theaid,
lant
mnehuber
pudh
ht,mo
thee
cue
inder,
23.
glan
puue