Human Generated Data

Title

The Reeling of Silk

Date

c. 1595

People

Artist: Karel de Mallery, Dutch 1571 - 1635

Artist after: Jan van der Straet, Netherlandish 1523 - 1605

Publisher: Philips Galle, Netherlandish 1537 - 1612

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2012.224.6

Human Generated Data

Title

The Reeling of Silk

People

Artist: Karel de Mallery, Dutch 1571 - 1635

Artist after: Jan van der Straet, Netherlandish 1523 - 1605

Publisher: Philips Galle, Netherlandish 1537 - 1612

Date

c. 1595

Classification

Prints

Machine Generated Data

Tags

Amazon
created on 2019-04-08

Human 99.1
Person 99.1
Person 99.1
Person 99
Person 97.7
Art 96.1
Person 95.4
Painting 94.6
Person 89.9
Person 78
Person 75.6
Person 66.2
Person 62
Archaeology 56.1

Clarifai
created on 2018-02-09

people 100
group 99.8
print 99.7
adult 99.6
man 98.7
engraving 98.4
furniture 98
many 97.4
two 96.5
administration 96.2
group together 95.6
illustration 95.2
vehicle 94.8
merchant 93.6
woodcut 93.5
lithograph 92.6
art 91.8
leader 91.3
veil 90.9
one 90.7

Imagga
created on 2018-02-09

graffito 51.4
sketch 46
drawing 37.9
decoration 36.6
screen 34.4
old 27.9
representation 25.4
architecture 25
vintage 24.8
grunge 23.8
history 20.6
building 19.9
ancient 19
art 19
antique 18.2
covering 17.1
menorah 17
retro 16.4
aged 16.3
texture 16
wall 15.8
structure 15.8
city 14.1
candelabrum 13.6
house 13.4
paper 13.3
landmark 12.6
architectural 11.5
historic 11
window 11
frame 10.8
travel 10.6
culture 10.3
black 10.2
candlestick 10.2
stone 10
paint 10
style 9.6
historical 9.4
design 9
religion 9
pattern 8.9
sculpture 8.8
urban 8.7
construction 8.6
temple 8.5
exterior 8.3
street 8.3
letter 8.3
dirty 8.1
backgrounds 8.1
brown 8.1
statue 7.8
memorial 7.7
money 7.7
post 7.6
finance 7.6
famous 7.4
tourism 7.4
ornate 7.3
business 7.3
home 7.2
material 7.1

Google
created on 2018-02-09

Microsoft
created on 2018-02-09

text 96.4
old 81.5
vintage 33.5

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Happy 45.2%
Disgusted 45.6%
Confused 45.5%
Calm 45.3%
Angry 45.3%
Sad 52.9%
Surprised 45.2%

AWS Rekognition

Age 45-65
Gender Female, 50.6%
Happy 45%
Confused 45.2%
Sad 50.5%
Angry 45.5%
Calm 48.5%
Disgusted 45.1%
Surprised 45.1%

AWS Rekognition

Age 23-38
Gender Male, 54.5%
Angry 45.8%
Sad 52.2%
Happy 45.2%
Surprised 45.3%
Confused 45.7%
Disgusted 45.2%
Calm 45.5%

AWS Rekognition

Age 35-55
Gender Male, 53.8%
Happy 45.2%
Surprised 45.1%
Angry 45.5%
Confused 45.3%
Disgusted 46.1%
Calm 45.1%
Sad 52.6%

AWS Rekognition

Age 20-38
Gender Female, 55%
Disgusted 45.1%
Happy 45.5%
Surprised 45.2%
Sad 48.9%
Calm 49.5%
Angry 45.5%
Confused 45.3%

AWS Rekognition

Age 48-68
Gender Male, 53.5%
Sad 49.3%
Calm 48.9%
Surprised 45.2%
Angry 46.1%
Disgusted 45.1%
Happy 45.1%
Confused 45.3%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Disgusted 45.3%
Confused 45.2%
Surprised 45.3%
Calm 51.8%
Angry 46.3%
Happy 45.1%
Sad 46.1%

AWS Rekognition

Age 17-27
Gender Female, 84.8%
Happy 1.1%
Sad 1.1%
Confused 0.8%
Angry 1.2%
Surprised 91.6%
Calm 3%
Disgusted 1.1%

AWS Rekognition

Age 20-38
Gender Male, 52.1%
Confused 45.4%
Surprised 46%
Angry 47%
Happy 45.2%
Calm 46.2%
Disgusted 45.2%
Sad 50%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Disgusted 45.3%
Happy 45.5%
Calm 49.3%
Sad 48%
Angry 45.8%
Surprised 45.6%
Confused 45.4%

AWS Rekognition

Age 19-36
Gender Female, 52.1%
Calm 46.8%
Sad 52.2%
Happy 45.1%
Angry 45.5%
Surprised 45.2%
Disgusted 45.1%
Confused 45.1%

Microsoft Cognitive Services

Age 38
Gender Female

Feature analysis

Amazon

Person 99.1%
Painting 94.6%

Captions

Microsoft

a vintage photo of an old building 79.1%
a vintage photo of a building 78.7%
a vintage photo of a person 75.9%

Text analysis

Amazon

telas
Simul
femina
millia
permulta
vermium
Hing vermium permulta Sape millia Simul legunt, parantg3 telas femina
Sape
legunt,
parantg3
Hing

Google

Hinc
permulka
Hinc verim permulka Sape millia Sinal leunt, parnt telas fmine
Sinal
parnt
verim
millia
leunt,
fmine
Sape
telas