Human Generated Data

Title

Healing of a Fortune Teller by Paul and Silas; Paul and Barnabas at Lystra
Date

c. 1591-1600
People

Artist: Unidentified Artist,

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591
Classification

Prints
Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.311

Human Generated Data

Title

Healing of a Fortune Teller by Paul and Silas; Paul and Barnabas at Lystra

People

Artist: Unidentified Artist,

Artist after: Maerten de Vos, Netherlandish 1532 - 1603

Publisher: Gerard de Jode, Flemish 1509 - 1591

Date

c. 1591-1600

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Barbara Ketcham Wheaton in memory of Robert Bradford Wheaton, 2011.613.311

Machine Generated Data

Tags

Amazon
created on 2019-06-27

Book 99.3
Person 99
Human 99
Art 98.4
Person 95.9
Person 92.7
Person 88.3
Painting 85.7
Person 85.1
Person 84.8
Person 82
Person 81
Person 74.5
Person 62.4
Person 60.6
Person 60.2
Person 49.4
Person 46.7

Clarifai
created on 2019-06-27

art 99.4
illustration 99.3
painting 98.9
people 96.9
religion 94.4
man 93.8
old 93.3
saint 93
manuscript 91.4
woman 90.9
print 90
aura 86.7
antique 86.1
vintage 84.9
kneeling 84.8
Renaissance 84.5
god 83.1
ancient 82.9
Gothic 80.8
gown (clothing) 79.6

Imagga
created on 2019-06-27

comic book 49
envelope 36.1
vintage 35.6
stamp 33.4
mail 32.6
postage 30.5
book 30
letter 29.4
postmark 28.6
old 27.9
post 25.8
money 25.5
currency 25.1
paper 25.1
postal 23.6
retro 23
finance 22.8
product 22.3
binding 21.1
cash 20.1
print media 19.6
art 19.2
ancient 18.2
bank 17
symbol 16.8
creation 16.8
printed 16.7
banking 16.6
exchange 16.2
philately 15.8
stamps 15.8
dollar 15.8
container 15.7
global 15.5
business 15.2
bill 14.3
antique 13.9
note 13.8
culture 13.7
collection 13.5
one 13.4
financial 13.4
savings 13.1
church 13
circa 12.8
shows 12.8
grunge 12.8
wealth 12.6
payment 12.5
covering 12.5
communications 12.5
book jacket 12.4
binder 12.3
office 12.1
aged 11.8
banknote 11.7
history 11.6
icon 11.1
museum 10.9
close 10.8
renaissance 10.8
religion 10.8
bills 10.7
cutting 10.6
dollars 10.6
pay 10.6
notes 10.5
unique 10.4
painter 10.2
black 10.2
communication 10.1
paint 10
post mail 9.9
zigzag 9.9
masterpiece 9.9
protective covering 9.9
known 9.9
design 9.8
paintings 9.8
delivery 9.7
jacket 9.6
painted 9.5
canceled 8.9
fame 8.9
decoration 8.7
letters 8.7
union 8.7
fine 8.6
united 8.6
tray 8.5
card 8.5
economy 8.3
texture 8.3
pattern 8.2
object 8.1
hundred 7.7
states 7.7
us 7.7
saint 7.7
god 7.7
religious 7.5
frame 7.5
investment 7.3
drawing 7.3
wrapping 7.3
message 7.3
painting 7.2

Google
created on 2019-06-27

Painting 95
Art 88.4
Text 85.2
Picture frame 75.9
Modern art 74.3
Miniature 74.1
History 68.8
Visual arts 68.6
Middle ages 57.3
Collection 52.1
Antique 51.7
Illustration 50.4

Microsoft
created on 2019-06-27

drawing 97.7
cartoon 91.5
gallery 88.1
indoor 85.2
person 81.8
child art 72.4
art 71.8
book 66.5
decorated 61.7
clothing 59.2
sketch 50.5
room 48
painting 39.2
picture frame 26.1

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

Age 35-52
Gender Male, 51.3%
Sad 45.1%
Confused 45%
Calm 48.2%
Surprised 45.1%
Angry 45.1%
Happy 51.5%
Disgusted 45.1%

AWS Rekognition

Age 20-38
Gender Male, 52.8%
Confused 45.7%
Calm 47.2%
Sad 47.4%
Surprised 46.5%
Disgusted 45.1%
Angry 48%
Happy 45.2%

AWS Rekognition

Age 48-68
Gender Male, 50.8%
Surprised 45.5%
Sad 47.4%
Disgusted 45.5%
Happy 46.1%
Calm 45.9%
Confused 45.3%
Angry 49.2%

AWS Rekognition

Age 38-59
Gender Female, 50.2%
Disgusted 45.3%
Calm 46.8%
Happy 45.5%
Sad 51.6%
Surprised 45.1%
Angry 45.4%
Confused 45.3%

AWS Rekognition

Age 35-52
Gender Male, 54.9%
Sad 49.1%
Calm 50.1%
Confused 45.2%
Angry 45.4%
Disgusted 45%
Surprised 45.1%
Happy 45.1%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Happy 45.1%
Disgusted 45.1%
Calm 53.9%
Sad 45.2%
Surprised 45.3%
Angry 45.2%
Confused 45.2%

AWS Rekognition

Age 26-43
Gender Female, 51%
Sad 48.4%
Angry 45.7%
Happy 46.3%
Surprised 46.6%
Disgusted 45.6%
Confused 45.4%
Calm 47%

AWS Rekognition

Age 35-52
Gender Female, 52.6%
Happy 45.6%
Sad 51.2%
Confused 45.3%
Surprised 45.4%
Angry 46.1%
Disgusted 45.1%
Calm 46.3%

AWS Rekognition

Age 20-38
Gender Male, 54.3%
Angry 45.3%
Disgusted 45%
Sad 46.4%
Happy 45.1%
Confused 45.3%
Calm 52.7%
Surprised 45.1%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 49.6%
Disgusted 49.6%
Happy 49.5%
Sad 49.7%
Calm 49.9%
Surprised 49.6%
Confused 49.6%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 49.7%
Disgusted 50.2%
Happy 49.5%
Angry 49.6%
Surprised 49.5%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.3%
Happy 45.2%
Confused 45.3%
Angry 46.6%
Disgusted 45.2%
Calm 45.2%
Sad 51.9%
Surprised 45.5%

AWS Rekognition

Age 57-77
Gender Male, 50.2%
Confused 49.5%
Surprised 49.5%
Disgusted 49.7%
Sad 49.9%
Calm 49.7%
Happy 49.6%
Angry 49.5%

AWS Rekognition

Age 38-59
Gender Female, 50%
Surprised 49.5%
Sad 49.7%
Angry 49.6%
Confused 49.5%
Calm 50%
Happy 49.5%
Disgusted 49.5%

AWS Rekognition

Age 60-90
Gender Female, 50.4%
Disgusted 49.5%
Angry 49.5%
Calm 50.2%
Confused 49.5%
Sad 49.7%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Sad 50.3%
Angry 49.5%
Happy 49.5%
Calm 49.5%
Disgusted 49.5%
Confused 49.6%
Surprised 49.5%

AWS Rekognition

Age 9-14
Gender Male, 51.8%
Sad 47.8%
Angry 45.3%
Happy 45.1%
Surprised 45.1%
Disgusted 45.1%
Confused 45.1%
Calm 51.5%

Microsoft Cognitive Services

Age 26
Gender Male

Microsoft Cognitive Services

Age 49
Gender Female

Microsoft Cognitive Services

Age 24
Gender Male

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Likely
Blurred Very unlikely

Feature analysis

Amazon

Book 99.3%
Person 99%
Painting 85.7%

Categories

Imagga

paintings art 99.7%

Captions

Microsoft
created on 2019-06-27

a painting on the wall 75.6%
a painting on a wall 75.1%
a painting hanging on a wall 75%

Text analysis

Amazon

323
Silaque,
Carcere
comtz
virtute
veftem
facrificarent
Iratus
Paulo
Cum
Cum Paulo comtz Ls renfes facrificarent
coefus
alitan
flagris
Eycitur Prthon, Pauli virtute Silaque,
Iratus veftem feindit utera suam 4
feindit
Carcere Jeruantur coefus vterg3 flagris
d
Jeruantur
Eycitur
4
suam
Prthon,
ille
Ls renfes
utera
Pauli
Acal
vterg3
Sila,
llscur:'
liur:
anna
jcne ille d in crprie
aarrsana
anna ba', Tanl llscur:' tant
Tanl
tant
LyRs orrnlrne ae aarrsana Acal
ba',
d in crprie
jcne
orrnlrne ae
LyRs
19 liur: rn
rn
19

Google

323 M.de Vos nuent imuent Eycitur Python, Paulj virtute Silaque, Carcere feruantur coefus vtery flagris. acto. i6. Cum Paulocomiti Ls trenfes facrificarent Iratus veftem feindit uterg . ad.i4 suam Sabitan lal d ulsnt iarri for aurSaue a Pal h Baanaa,aellans Barnabat furitir e Jeul seuray mis n preton aute
323
M.de
Vos
nuent
imuent
Eycitur
Python,
Paulj
virtute
Silaque,
Carcere
feruantur
coefus
vtery
flagris.
acto.
i6.
Cum
Paulocomiti
Ls
trenfes
facrificarent
Iratus
veftem
feindit
uterg
.
ad.i4
suam
Sabitan
lal
d
ulsnt
iarri
for
aurSaue
a
Pal
h
Baanaa,aellans
Barnabat
furitir
e
Jeul
seuray
mis
n
preton
aute