Human Generated Data

Title

Giving Drink to the Thirsty

Date

17th century

People

Artist: David Custos, German active first quarter 17th c.

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R4836

Human Generated Data

Title

Giving Drink to the Thirsty

People

Artist: David Custos, German active first quarter 17th c.

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-08-08

Person 99.4
Human 99.4
Painting 98.5
Art 98.5
Person 98.2
Person 97.5
Person 96.1
Person 95.4
Person 94
Person 93.4
Person 92.6
Person 90.7
Person 90.2
Person 90
Person 88.7
Person 88.6
Person 87.9
Pet 83.8
Canine 83.8
Animal 83.8
Dog 83.8
Mammal 83.8
Person 79.8
Person 78.9
Person 75.7
Person 74.6
Person 62.3
Person 61.7

Clarifai
created on 2019-08-08

people 100
print 99.9
group 99.8
many 99.7
adult 99
engraving 98
man 97.2
art 97
administration 96.2
illustration 95.5
leader 94.6
military 91
soldier 89.9
wear 88.4
lithograph 87.7
crowd 86.7
group together 84.9
monarch 84.1
royalty 83.7
several 82.4

Imagga
created on 2019-08-08

sculpture 45
statue 43.2
architecture 34.5
art 33.9
history 31.3
monument 29.9
old 27.9
religion 27.8
ancient 26.8
landmark 24.4
tourism 24
stone 23.7
famous 23.3
building 23
travel 22.6
historic 21.1
historical 20.7
religious 19.7
city 19.1
culture 18.8
memorial 18.7
god 18.2
marble 18
column 17.9
carving 17.4
tourist 17.3
temple 17.3
antique 16.9
structure 16.3
church 15.7
ruler 15.1
detail 14.5
spirituality 14.4
museum 13.8
arch 13
catholic 12.8
figure 12.6
decoration 12.4
brass 12.1
fountain 11.9
statues 11.8
facade 11.7
traditional 11.7
spiritual 11.5
metropolitan 10.7
holy 10.6
faith 10.5
attraction 10.5
roman 10.1
cathedral 10.1
saint 9.6
symbol 9.4
vintage 9.1
palace 9.1
carved 8.8
baroque 8.8
artistic 8.7
heritage 8.7
golden 8.6
exterior 8.3
altar 8.1
king 7.8
pray 7.8
worship 7.7
prayer 7.7
kin 7.7
capital 7.6
relief 7.2

Google
created on 2019-08-08

Illustration 77.2
Art 74.8
Stock photography 72.2
Painting 67.4
History 57.6
Antique 50.3

Microsoft
created on 2019-08-08

text 99.9
person 97.9
old 97.2
clothing 91.4
posing 87.9
group 78.8
vintage 43.9

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 51.1%
Confused 45.3%
Surprised 45.3%
Calm 46.3%
Angry 46.3%
Happy 45.5%
Sad 50.4%
Disgusted 45.9%

AWS Rekognition

Age 17-27
Gender Male, 54.2%
Confused 45.3%
Calm 46.8%
Sad 51.1%
Disgusted 45.4%
Happy 45.1%
Angry 45.7%
Surprised 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.4%
Calm 48.4%
Happy 46.2%
Sad 48.1%
Angry 46.2%
Disgusted 45.2%
Confused 45.4%
Surprised 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50.7%
Happy 45.4%
Angry 45.3%
Sad 53.9%
Disgusted 45.1%
Calm 45.2%
Surprised 45.1%
Confused 45.1%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Sad 46%
Happy 45.1%
Confused 45.2%
Disgusted 45%
Calm 53.2%
Angry 45.3%
Surprised 45.1%

AWS Rekognition

Age 20-38
Gender Female, 52.5%
Sad 45.6%
Happy 47%
Disgusted 47.7%
Angry 46.7%
Confused 45.5%
Calm 46.6%
Surprised 45.9%

AWS Rekognition

Age 48-68
Gender Female, 50.9%
Calm 50.9%
Happy 45.2%
Angry 45.6%
Confused 45.3%
Disgusted 45.1%
Sad 47.7%
Surprised 45.2%

AWS Rekognition

Age 23-38
Gender Female, 50.2%
Calm 49.6%
Happy 49.5%
Sad 49.9%
Angry 49.7%
Disgusted 49.5%
Confused 49.5%
Surprised 49.7%

AWS Rekognition

Age 9-14
Gender Female, 50.4%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%
Calm 49.9%
Angry 49.6%
Confused 49.6%
Sad 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Confused 49.6%
Surprised 49.6%
Calm 49.6%
Angry 49.6%
Happy 49.5%
Sad 49.7%
Disgusted 49.9%

AWS Rekognition

Age 60-90
Gender Female, 52.2%
Calm 45%
Confused 45.1%
Happy 45%
Disgusted 45%
Sad 54.8%
Angry 45%
Surprised 45%

AWS Rekognition

Age 26-43
Gender Male, 53.6%
Disgusted 45.4%
Sad 46.7%
Calm 50.1%
Angry 45.7%
Surprised 45.9%
Confused 45.8%
Happy 45.5%

AWS Rekognition

Age 57-77
Gender Male, 54.6%
Calm 49.2%
Disgusted 45.2%
Angry 46.2%
Sad 46.9%
Confused 46.3%
Surprised 45.9%
Happy 45.3%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Happy 49.7%
Surprised 49.6%
Disgusted 49.7%
Sad 49.7%
Angry 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 48-68
Gender Female, 50.5%
Disgusted 49.5%
Sad 50.1%
Confused 49.6%
Happy 49.6%
Angry 49.5%
Calm 49.7%
Surprised 49.5%

Feature analysis

Amazon

Person 99.4%
Painting 98.5%
Dog 83.8%

Captions

Microsoft

a vintage photo of a group of people posing for the camera 93.9%
a vintage photo of a group of people posing for a picture 93.8%
an old photo of a group of people posing for the camera 93.7%

Text analysis

Amazon

prome
etiam
pacis
conciliator
Nam
Pelle
nemo
lita
hic
ista
sitim
imple
Bacche
pocula
iure
Funde: merur. pateras imple lita caecuba Bacche etiam pacis conciliator ades
tradita
Jam nemo hic uini tradita regna tenet prome Pelle sitim Pater hic turbae sitientis
Jam
dator
creant
uperum
pateras
turbae
regna
Pater
Laetitige
rixas
caecuba
Nam 110n2 ista creant erudeles pocula rixas Laetitige iure dator erisguae
tenet
uperum Eyace
ades
uini
Funde:
Eyace
Dauid
merur.
erudeles
sitientis
erisguae
DauidCufodis.stulns Dauid
DauidCufodis.stulns
110n2

Google

pacis
hic
imple
non
ta
creant
Cuftodis.Seul
Funde
Pater
Juperum
pateras
uini
gna
Dauid Cuftodis.Seul Funde Bacche etiam pacis conciliator ades Pelle sitim Pater hic turbae sitientis erisquae Laetitias Juperum merum pateras imple lita caccuba prome Jam nemo hic uini Nam non is ta creant crudel gna tenet Fecula iure byace dator ricas
etiam
turbae
sitientis
merum
caccuba
prome
crudel
Fecula
iure
Dauid
ades
erisquae
Laetitias
lita
nemo
Nam
is
byace
dator
Bacche
conciliator
Pelle
sitim
Jam
tenet
ricas