Human Generated Data

Title

The Body of Hector Rescued and Brought to Troy

Date

19th century

People

Artist: Gaetano Bonatti, Italian c. 1635-1681

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R14160

Human Generated Data

Title

The Body of Hector Rescued and Brought to Troy

People

Artist: Gaetano Bonatti, Italian c. 1635-1681

Date

19th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R14160

Machine Generated Data

Tags

Amazon
created on 2019-11-06

Person 98.7
Human 98.7
Person 96.3
Person 95.9
Art 93.4
Person 91.6
Painting 91.2
Person 88.4
Person 80.8
Person 77.4
Advertisement 75.2
Poster 75.2
Archaeology 70.2
Person 68.1
Person 67.3
Person 64
Ivory 56.1
Person 55.7
Person 44.4

Clarifai
created on 2019-11-06

people 98.3
art 97.9
sculpture 97.1
man 95.2
adult 93.7
victory 90.5
monument 88.7
group 87.4
cavalry 87
leader 86.5
administration 85.9
marble 85.4
sword 85.2
ancient 83.9
statue 83.4
religion 83.4
one 82.7
illustration 82.1
relief 81.6
saint 81.3

Imagga
created on 2019-11-06

brass 56.2
money 50.2
memorial 49.6
currency 44.9
cash 43
paper 39.2
dollar 36.2
finance 33.8
arabesque 33.5
structure 33.5
bank 33.3
wealth 30.5
bill 28.6
banking 27.6
business 26.1
dollars 26.1
treasury 23.7
rich 23.3
pay 23
one 22.4
financial 22.3
old 21.6
savings 21.5
bills 21.4
hundred 20.3
us 20.3
note 20.2
ancient 19
exchange 18.2
close 17.7
vintage 17.4
art 16.8
franklin 16.7
depository 16.7
banknote 16.5
retro 16.4
investment 15.6
antique 14.7
success 14.5
loan 14.4
history 14.3
states 13.5
grunge 12.8
facility 12.6
payment 12.5
commerce 12.1
frame 11.9
funds 11.8
sculpture 11.6
carving 11.5
sign 11.3
design 10.9
gold 10.7
stamp 10.7
united 10.5
wall 10.3
pattern 10.3
classic 10.2
architecture 10.2
closeup 10.1
border 10
banknotes 9.8
market 9.8
texture 9.7
finances 9.6
blank 9.4
historic 9.2
decoration 8.9
value 8.7
economic 8.7
travel 8.5
drawing 8.4
traditional 8.3
ornate 8.2
object 8.1
president 7.9
monetary 7.8
abundance 7.8
debt 7.7
culture 7.7
price 7.7
capital 7.6
save 7.6
number 7.5
economy 7.4
letter 7.3
aged 7.2
card 7.1

Google
created on 2019-11-06

Text 90.3
History 75.2
Drawing 69.1
Font 68.6
Paper 59.2
Relief 52.9
Art 50.2
Sketch 50.1

Microsoft
created on 2019-11-06

text 99.8
drawing 96.1
sketch 93.3
person 89.9
posing 72.1
clothing 66.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-29
Gender Male, 50.3%
Fear 49.5%
Happy 49.5%
Disgusted 49.5%
Confused 49.6%
Angry 49.5%
Calm 49.8%
Sad 49.5%
Surprised 50%

AWS Rekognition

Age 48-66
Gender Male, 50.5%
Angry 50.4%
Calm 49.6%
Fear 49.5%
Surprised 49.5%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Sad 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50.2%
Calm 50.3%
Sad 49.6%
Angry 49.5%
Fear 49.5%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 18-30
Gender Male, 50.3%
Disgusted 49.5%
Happy 49.5%
Sad 49.9%
Calm 49.8%
Confused 49.5%
Angry 49.8%
Surprised 49.5%
Fear 49.5%

AWS Rekognition

Age 23-35
Gender Female, 50.2%
Disgusted 49.5%
Confused 49.5%
Fear 49.5%
Surprised 49.5%
Sad 49.5%
Angry 49.5%
Happy 50.5%
Calm 49.5%

AWS Rekognition

Age 25-39
Gender Male, 50.5%
Disgusted 49.7%
Fear 49.5%
Calm 49.6%
Surprised 49.6%
Happy 49.8%
Confused 49.5%
Angry 49.7%
Sad 49.5%

AWS Rekognition

Age 23-37
Gender Female, 50.2%
Calm 49.6%
Angry 49.5%
Fear 49.5%
Happy 50.4%
Disgusted 49.5%
Sad 49.5%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.5%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Calm 50.3%
Confused 49.5%
Happy 49.6%
Sad 49.5%
Surprised 49.5%

AWS Rekognition

Age 27-43
Gender Female, 50%
Confused 49.5%
Calm 50.4%
Sad 49.5%
Surprised 49.5%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Angry 49.5%

AWS Rekognition

Age 6-16
Gender Male, 50.3%
Calm 50.3%
Happy 49.5%
Fear 49.5%
Sad 49.6%
Surprised 49.5%
Angry 49.5%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

Age 50-68
Gender Male, 54.7%
Fear 45.4%
Sad 45.2%
Surprised 45.5%
Disgusted 45%
Calm 52.9%
Confused 45%
Happy 45.7%
Angry 45.2%

AWS Rekognition

Age 20-32
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Fear 49.5%
Calm 50.5%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%

AWS Rekognition

Age 12-22
Gender Male, 50%
Happy 49.5%
Disgusted 49.5%
Fear 49.5%
Calm 49.6%
Angry 49.5%
Sad 50.3%
Confused 49.5%
Surprised 49.5%

AWS Rekognition

Age 33-49
Gender Male, 50.5%
Angry 49.7%
Confused 49.5%
Sad 49.5%
Disgusted 50.2%
Calm 49.6%
Fear 49.5%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.2%
Fear 49.5%
Angry 50.1%
Confused 49.5%
Sad 49.6%
Happy 49.5%
Calm 49.8%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 45-63
Gender Male, 50.5%
Disgusted 49.5%
Confused 49.5%
Calm 50.4%
Sad 49.5%
Happy 49.5%
Fear 49.5%
Surprised 49.5%
Angry 49.5%

AWS Rekognition

Age 22-34
Gender Male, 50.2%
Fear 49.5%
Surprised 49.5%
Disgusted 49.6%
Angry 49.9%
Happy 49.6%
Calm 49.9%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 20-32
Gender Male, 50.4%
Happy 49.9%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Calm 49.9%
Sad 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 30-46
Gender Female, 50.3%
Calm 49.8%
Sad 49.6%
Angry 50%
Fear 49.6%
Happy 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Person 98.7%
Poster 75.2%

Categories

Captions

Text analysis

Amazon

d
riiseattalo
pertaton
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cadesme d ltere riiseattalo pertaton a rejis
Men
a
Men Both
rejis
Both
cadesme
eaaagnaeaenoea09e9909989.QOagese

Google

Men Bagh B neal Headarend Core risallale perale a v Inje
Men
Bagh
B
neal
Headarend
Core
risallale
perale
a
v
Inje