Human Generated Data

Title

Conference on What Steps to Take upon the Romans' New Troops Approaching across the Alps

Date

1611

People

Artist: Antonio Tempesta, Italian 1555 - 1630

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Mr. and Mrs. William N. Bullard, by exchange, S8.58.2

Human Generated Data

Title

Conference on What Steps to Take upon the Romans' New Troops Approaching across the Alps

People

Artist: Antonio Tempesta, Italian 1555 - 1630

Date

1611

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-02

Human 98.6
Person 98.6
Person 98
Person 97.8
Person 95.4
Person 93.9
Art 92.9
Person 91.5
Painting 90.5
Person 87.8
Person 87.4
Person 85.8
Person 85.7
Drawing 79.3
Person 78.1
Person 74.9
Text 68.1
Person 66.8
Sketch 57.5
Duel 57.4
Person 53.5
Person 43.2

Clarifai
created on 2018-04-18

people 100
group 99.8
print 99.8
illustration 99
adult 98.9
engraving 98.9
man 98.5
many 98.2
lithograph 97.3
leader 96.9
slavery 96.3
administration 96.2
art 95.5
several 95.4
woman 91.2
child 91
military 91
slave 89.2
wear 87.8
weapon 87.4

Imagga
created on 2018-04-18

drawing 100
sketch 100
representation 84.2
retro 24.6
art 23.9
old 23
grunge 23
design 22.5
architecture 21.9
vintage 21.5
building 21.4
history 18.8
paper 17.2
black 16.8
antique 15.3
frame 15
silhouette 14.9
ancient 14.7
pattern 14.4
city 14.1
business 14
letter 13.7
stamp 12.6
pencil 12.3
structure 12.1
construction 12
border 11.8
house 11.7
tower 11.6
sky 11.5
paint 10.9
urban 10.5
scene 10.4
graphic 10.2
dirty 9.9
element 9.9
postmark 9.8
postage 9.8
texture 9.7
style 9.6
office 9.6
mail 9.6
skyline 9.5
line 9.4
decoration 9.4
culture 9.4
money 9.4
finance 9.3
decorative 9.2
travel 9.2
sign 9
currency 9
postal 8.8
plan 8.5
wallpaper 8.4
modern 8.4
new 8.1
symbol 8.1
ink 7.7
post 7.6
newspaper 7.6
cityscape 7.6
elegance 7.6
historical 7.5
writing 7.5
shape 7.4
aged 7.2

Google
created on 2018-04-18

Microsoft
created on 2018-04-18

text 99.9
book 98.1

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 54.4%
Angry 45.1%
Happy 45%
Calm 54.6%
Disgusted 45%
Confused 45%
Sad 45.3%
Surprised 45%

AWS Rekognition

Age 20-38
Gender Female, 50.8%
Calm 52.8%
Surprised 45.4%
Angry 45.4%
Happy 45.1%
Disgusted 45.2%
Confused 45.4%
Sad 45.8%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Sad 54.7%
Surprised 45%
Calm 45.1%
Disgusted 45%
Happy 45.1%
Confused 45%
Angry 45%

AWS Rekognition

Age 30-47
Gender Male, 53.2%
Calm 52.2%
Happy 45.6%
Surprised 45.1%
Confused 45.1%
Angry 45.5%
Sad 46.3%
Disgusted 45%

AWS Rekognition

Age 23-38
Gender Female, 54.6%
Happy 45.1%
Surprised 45.1%
Calm 47%
Angry 45.3%
Disgusted 45.1%
Sad 52.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Disgusted 49.5%
Angry 49.6%
Confused 49.5%
Calm 50%
Sad 49.7%
Happy 49.6%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Calm 49.5%
Sad 49.6%
Confused 49.5%
Disgusted 49.5%
Angry 49.5%
Happy 50.3%
Surprised 49.5%

AWS Rekognition

Age 38-59
Gender Male, 53.6%
Disgusted 45.1%
Calm 50.3%
Happy 45.1%
Confused 45.2%
Surprised 45.2%
Sad 47.5%
Angry 46.7%

AWS Rekognition

Age 35-52
Gender Male, 51.8%
Confused 46.2%
Angry 47.9%
Disgusted 45.1%
Surprised 45.4%
Calm 47.7%
Sad 47.5%
Happy 45.2%

AWS Rekognition

Age 49-69
Gender Male, 53.4%
Confused 45.2%
Happy 45.3%
Sad 52%
Disgusted 45%
Surprised 45.2%
Angry 45.6%
Calm 46.6%

AWS Rekognition

Age 38-59
Gender Male, 51.2%
Calm 45.7%
Sad 52.7%
Confused 45.3%
Disgusted 45.1%
Surprised 45.4%
Happy 45.4%
Angry 45.4%

AWS Rekognition

Age 26-43
Gender Male, 54.7%
Disgusted 45.1%
Angry 45.8%
Surprised 45.3%
Happy 45.1%
Sad 46%
Calm 52.1%
Confused 45.6%

AWS Rekognition

Age 26-43
Gender Female, 52%
Angry 45.9%
Calm 48.8%
Confused 45.5%
Surprised 45.2%
Happy 45.2%
Sad 49.1%
Disgusted 45.1%

AWS Rekognition

Age 35-52
Gender Male, 51.5%
Surprised 45.3%
Disgusted 45.1%
Calm 51.9%
Sad 46.6%
Happy 45.2%
Confused 45.2%
Angry 45.8%

Feature analysis

Amazon

Person 98.6%
Painting 90.5%

Captions

Microsoft

a close up of a book 28.3%
close up of a book 23.1%
a hand holding a book 23%

Text analysis

Amazon

Ceriale
Valentinss
Romevnen
men
Alpes
Cerialem
de
delcendente
23
belli
Remis
Alpes.
metuentes
per
Roomen
Aupricis
Romemen
effundit,
te
Gallice
landt
ouerften
raedt de Romevnen het landt te houden; imaer de Wallche Iteden 23 Valentinss metuentes effundit, Aupricis
het
tracteert
conuenunt
copns
Alpes. men tracteert te Remis Valentym ecnen ouerften er rIrieriche, Cuuitates sibni Remis conuenunt belli
met
raedt
ouer
De Romemen fchicken Cerialem met rroot volck va Roomen ouer de Ceriale magms copns mnftructo per Alpes delcendente Gallice
er
houden;
Valentym
fchicken
Wallche
ecnen
Iteden
Cuuitates
magms
rIrieriche,
volck
rroot
mnftructo
imaer
sibni
De
va

Google

er
ciuitates
bi
Valentinus
Romanam
et
De
Ghicken
aroot
d
men
der
landt
maer
de
azordt,
tivelck
Cerale
Gallhe
:
op.
effundit,
at
pacem
volck
Romen
te
Vletnen
he
raden
Alpes
cs
metuentes
contentent
─░nstinctor
belli
in
pradicantis
met
ouer
Remis:
oerfen
(
tot
ghevolght
cons
mruto
defcendente
idiam
Aupicis
wt
het
leden
zynde
ancorderen
Romeynt
Cerale magas cons mruto er Alpes defcendente Gallhe ciuitates cs bi metuentes Remis contentent : ─░nstinctor belli Valentinus idiam in op. Romanm effundit, at lulij Aupicis vim Romanam et pacem pradicantis ronflo acquicucrunt De Romeynen Ghicken Cerralem met aroot volck ver Romen ouer d Alpes men tracizert te Remis: Vletnen oerfen der he, razde de Romevnen wt het landt tenouden: maer de wala he (leden raden tot azordt, tivelck ghevolght zynde ancorderen met de Romeynt
magas
Remis
Romanm
lulij
vim
ronflo
acquicucrunt
Romeynen
Cerralem
ver
tracizert
he,
razde
Romevnen
tenouden
wala