Human Generated Data

Title

Lycrugus Explaining to the Lacedaemonians the Difference Between a Good and Bad Education
Date

1596
People

Artist: Jan Saenredam, Dutch 1565 - 1607
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R1977

Human Generated Data

Title

Lycrugus Explaining to the Lacedaemonians the Difference Between a Good and Bad Education

People

Artist: Jan Saenredam, Dutch 1565 - 1607

Date

1596

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R1977

Machine Generated Data

Tags

Amazon
created on 2019-08-10

Person 99.3
Human 99.3
Art 95.8
Painting 94.9
Person 93.3
Person 92.5
Drawing 91.7
Person 91.3
Sketch 84.8
Person 82.8
Person 73.6
Person 70.8
Archaeology 55.7

Clarifai
created on 2019-08-10

people 100
print 99.6
engraving 99.6
group 99.5
art 99.3
illustration 98.8
adult 98.5
man 97.7
two 95.8
woman 93.8
administration 92.5
leader 90.6
painting 90.5
etching 89.8
lithograph 87.5
sit 86.2
furniture 85
royalty 84.8
three 84.8
seat 83.7

Imagga
created on 2019-08-10

sketch 100
drawing 100
representation 100
architecture 26.6
ancient 25.1
sculpture 24.9
art 24.1
money 23.8
old 22.3
currency 21.5
statue 21.5
history 20.6
cash 20.1
landmark 19.9
famous 18.6
vintage 18.2
dollar 17.6
building 16.7
culture 16.2
stone 16.1
finance 16.1
monument 15.9
paper 15.7
carving 15.6
banking 15.6
city 15
bank 14.3
bill 14.3
temple 13.5
god 13.4
financial 13.4
stamp 12.6
close 12.6
historical 12.2
letter 11.9
postmark 11.8
marble 11.6
us 11.6
tourism 11.6
mail 11.5
symbol 11.4
antique 11.3
travel 11.3
detail 11.3
savings 11.2
business 10.9
postage 10.8
postal 10.8
wealth 10.8
religion 10.8
face 10.7
hundred 10.7
dollars 10.6
rich 10.2
economy 10.2
historic 10.1
figure 10
fountain 9.9
decoration 9.9
retro 9.8
man 9.4
one 9
carved 8.8
envelope 8.8
closeup 8.8
pay 8.6
exchange 8.6
capital 8.5
church 8.3
sign 8.3
philately 7.9
circa 7.9
franklin 7.9
banknotes 7.8
artistic 7.8
facade 7.7
loan 7.7
grunge 7.7
religious 7.5
column 7.3
investment 7.3
design 7.3
tourist 7.3
aged 7.2
black 7.2

Google
created on 2019-08-10

Painting 89.8
Art 86.2
Illustration 79.3
Stock photography 74.8
Drawing 72
Visual arts 64.9
Artwork 64.4
History 57.6
Printmaking 54
Antique 53
Picture frame 52.4
Sketch 52

Microsoft
created on 2019-08-10

drawing 98.6
sketch 98.5
text 97.1
person 89.8
illustration 86.9
book 83.6
cartoon 81.9
clothing 81
engraving 76.2
painting 58.9
old 45.4

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 21-33
Gender Male, 97%
Confused 0.1%
Calm 92.2%
Surprised 0.1%
Disgusted 0%
Happy 0.1%
Fear 0%
Angry 0.2%
Sad 7.3%

AWS Rekognition

Age 26-40
Gender Male, 87.4%
Angry 0.5%
Confused 0.1%
Calm 95.4%
Disgusted 0%
Sad 3.4%
Fear 0.1%
Surprised 0.3%
Happy 0.2%

AWS Rekognition

Age 22-34
Gender Male, 98%
Angry 0%
Confused 0%
Disgusted 0%
Surprised 0%
Fear 0%
Sad 5.7%
Happy 0%
Calm 94.2%

AWS Rekognition

Age 45-63
Gender Female, 51.9%
Surprised 45.6%
Angry 45.5%
Disgusted 45.3%
Fear 51.3%
Happy 46.8%
Sad 45.2%
Calm 45.3%
Confused 45.1%

AWS Rekognition

Age 24-38
Gender Male, 50.1%
Calm 50.4%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Happy 49.5%
Fear 49.5%
Disgusted 49.5%
Angry 49.5%

AWS Rekognition

Age 40-58
Gender Male, 50.5%
Confused 49.5%
Disgusted 49.5%
Sad 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.5%
Calm 50.4%
Fear 49.5%

AWS Rekognition

Age 35-51
Gender Male, 50.5%
Surprised 49.5%
Angry 49.6%
Disgusted 49.5%
Sad 49.7%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.1%

AWS Rekognition

Age 23-35
Gender Male, 50.2%
Angry 49.8%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.5%
Sad 49.9%
Happy 49.5%
Calm 49.7%

AWS Rekognition

Age 30-46
Gender Male, 50.2%
Calm 49.9%
Angry 49.6%
Surprised 49.6%
Confused 49.5%
Happy 49.6%
Sad 49.5%
Fear 49.8%
Disgusted 49.5%

AWS Rekognition

Age 14-26
Gender Male, 50.1%
Angry 49.5%
Confused 49.5%
Disgusted 49.5%
Surprised 49.5%
Fear 49.6%
Sad 49.8%
Happy 49.5%
Calm 50%

AWS Rekognition

Age 31-47
Gender Female, 50%
Disgusted 49.5%
Angry 49.5%
Fear 49.5%
Confused 49.5%
Happy 49.5%
Calm 50.3%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 23-35
Gender Male, 50.4%
Surprised 49.5%
Sad 50%
Confused 49.5%
Angry 49.5%
Fear 49.5%
Happy 49.7%
Calm 49.8%
Disgusted 49.5%

Microsoft Cognitive Services

Age 43
Gender Male

Feature analysis

Amazon

Person 99.3%
Painting 94.9%

Categories

Imagga

paintings art 93.8%
pets animals 2.9%
streetview architecture 1.5%

Captions

Microsoft
created on 2019-08-10

an old photo of a person 75.5%
old photo of a person 71.3%
an old picture of a person 71.2%

Text analysis

Amazon

Lacedamonuus
fidenter,
ille
peritos:
Produrens
perlequitur
luxum
Spartarum
leporem,
capit
Sobrius Spartarum
leaislator
Drudens.
sTuduit moderate' tollere Drudens. Primus perlequitur leporem, capit ille fidenter,
pro
Sobrius
geminos
Quem
sTuduit
Primus
more
moderate'
tollere
bupidus
reurgus.
cafulbe
tempferat
inneter
En Lacedamonuus bic. luxum leaislator tempferat Tle reurgus. ofm, Quem Produrens geminos -medto cafulbe pro more peritos: Briwsat rEfnanet bupidus fuis eVorando.
Senredam
eVorando.
En
rEfnanet
-medto
Tle
ofm,
Briwsat
teor nou inneter
fuis
bic.
ferikig6
teor
nou

Google

CRS06 Hunc: alus rehnanet shupidus fib linitevorando Emperur Cn Lacedamonus legislator lercurgus. Quem studuir medio moderate tollerePrudens. Primus perequitur leporgm,capit ille fidenter Producens geminos catulos, pro moře peritos: Sobrus bc, luxum Spartarum templerat olim ldy DHOu po
CRS06
Hunc:
alus
rehnanet
shupidus
fib
linitevorando
Emperur
Cn
Lacedamonus
legislator
lercurgus.
Quem
studuir
medio
moderate
tollerePrudens.
Primus
perequitur
leporgm,capit
ille
fidenter
Producens
geminos
catulos,
pro
moře
peritos:
Sobrus
bc,
luxum
Spartarum
templerat
olim
ldy
DHOu
po