Human Generated Data

Title

A Touching Story

Date

18th century

People

Artist: William Baillie, British 1723 - 1810

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R1092NA

Human Generated Data

Title

A Touching Story

People

Artist: William Baillie, British 1723 - 1810

Date

18th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of Belinda L. Randall from the collection of John Witt Randall, R1092NA

Machine Generated Data

Tags

Amazon
created on 2023-10-24

Art 100
Painting 100
Crypt 99.2
Archaeology 98.6
Adult 98.1
Male 98.1
Man 98.1
Person 98.1
Person 98
Adult 93.5
Person 93.5
Female 93.5
Woman 93.5
Dungeon 87
Face 72
Head 72
Machine 57.3
Wheel 57.3
Furniture 56.9
Fireplace 55.1
Indoors 55.1

Clarifai
created on 2019-02-27

people 99.9
adult 99.4
art 99.2
group 99.1
man 98.2
print 98.1
wear 97.5
two 97.2
one 97.1
military 95
furniture 93
engraving 92.4
child 91.9
woman 90.8
music 90
group together 89.8
war 89.4
cavalry 89.2
vehicle 89
uniform 88.7

Imagga
created on 2019-02-27

newspaper 36.4
product 27.4
anvil 26.4
old 23
creation 22.2
block 20.5
travel 17.6
light 16.4
stone 16.3
architecture 15.6
building 14.5
water 14
landscape 13.4
river 13.3
city 13.3
art 13
history 12.5
structure 12.4
antique 12.1
ancient 12.1
vintage 11.6
tourism 11.5
sculpture 11.5
cell 11.2
fountain 11.1
black 10.9
man 10.7
park 10.7
house 10
industrial 10
urban 9.6
sky 9.6
famous 9.3
dark 9.2
design 9
mountain 8.9
wall 8.7
natural 8.7
rock 8.7
column 8.5
outdoor 8.4
color 8.3
texture 8.3
environment 8.2
vacation 8.2
country 7.9
wild 7.8
culture 7.7
industry 7.7
grunge 7.7
brick 7.6
serene 7.5
traditional 7.5
monument 7.5
one 7.5
smoke 7.4
flow 7.4
historic 7.3
window 7.3
metal 7.2
fall 7.2
landmark 7.2
colorful 7.2

Google
created on 2019-02-27

Microsoft
created on 2019-02-27

old 67.3
music 67.3
black and white 51.6
art 49.6
monochrome 46.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 20-28
Gender Male, 96.3%
Surprised 99.1%
Calm 6.4%
Fear 6%
Confused 2.7%
Sad 2.5%
Angry 1.8%
Disgusted 1%
Happy 0.4%

Feature analysis

Amazon

Adult 98.1%
Male 98.1%
Man 98.1%
Person 98.1%
Female 93.5%
Woman 93.5%
Wheel 57.3%

Categories

Text analysis

Amazon

dun
a
le
de
dons
Gabinet
Defsein
Grassi dun Defsein de Rembranett dons le Gabinet de Moni Dan Neymon a Amsterdam.
Amsterdam.
Grassi
Moni
Rembranett
Dan Neymon