Human Generated Data

Title

Senators and Governors

Date

1675

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.19

Human Generated Data

Title

Senators and Governors

People

Artist: Antoinette Bouzonnet-Stella, French 1641 - 1676

Artist after: Antoine Bouzonnet-Stella, French 1637 - 1682

Artist after: Giulio Romano, Italian 1499? - 1546

Date

1675

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Acquisition Fund for Prints, 2016.255.19

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Person 96.6
Human 96.6
Art 96.2
Person 95.4
Person 92.8
Mammal 92.6
Animal 92.6
Horse 92.6
Person 90.8
Horse 86.8
Painting 81.2
Mural 80.7
Person 65.3
Person 53.3
Person 52.4
Horse 50.3
Person 47.6

Clarifai
created on 2018-03-16

people 100
group 99.7
print 99.6
adult 99.2
many 99
leader 98.2
man 98
military 97.9
soldier 97.4
cavalry 97
administration 96.2
illustration 95.5
engraving 95.5
weapon 94.4
war 93.2
art 92.6
group together 92.4
uniform 90.8
military uniform 89.1
mammal 88.6

Imagga
created on 2018-03-16

graffito 100
decoration 87.6
old 27.1
ancient 19
antique 18.2
grunge 17.9
architecture 17.2
art 15.9
vintage 15.7
texture 15.3
detail 13.7
history 13.4
retro 13.1
design 12.4
structure 11.8
sculpture 11.5
monument 11.2
stone 11.1
wall 11
travel 10.6
style 10.4
wood 10
aged 9.9
material 9.8
pattern 9.6
drawing 9.3
grain 9.2
building 8.7
old fashioned 8.6
culture 8.5
zebra 8.4
classic 8.3
traditional 8.3
religion 8.1
surface 7.9
textured 7.9
holiday 7.9
paper 7.8
color 7.8
rusty 7.6
statue 7.6
frame 7.5
tourism 7.4
water 7.3
ornate 7.3
backgrounds 7.3
effect 7.3
sand 7.1

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

text 100
book 99.4
outdoor 98.2
group 76.4
posing 74.1

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Surprised 45.2%
Happy 45.3%
Sad 51.3%
Calm 47.2%
Confused 45.2%
Angry 45.7%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Angry 45.3%
Calm 54.4%
Surprised 45.2%
Disgusted 45%
Sad 45.1%
Happy 45%
Confused 45%

AWS Rekognition

Age 26-44
Gender Female, 51.2%
Surprised 45.5%
Disgusted 47.7%
Happy 45.3%
Sad 46%
Calm 47.4%
Confused 45.9%
Angry 47.2%

AWS Rekognition

Age 26-43
Gender Male, 54.2%
Angry 46.1%
Surprised 45.4%
Sad 46.1%
Disgusted 45.3%
Happy 45.3%
Confused 45.3%
Calm 51.6%

AWS Rekognition

Age 26-43
Gender Male, 52.8%
Calm 51.1%
Angry 45.5%
Confused 45.2%
Surprised 45.2%
Sad 47.9%
Disgusted 45.1%
Happy 45.1%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Confused 45.1%
Angry 45.1%
Happy 45.1%
Calm 45.4%
Disgusted 45%
Surprised 45%
Sad 54.3%

AWS Rekognition

Age 26-43
Gender Female, 51%
Disgusted 45.1%
Sad 45.1%
Confused 45%
Calm 54.4%
Surprised 45.1%
Angry 45.3%
Happy 45.1%

AWS Rekognition

Age 48-68
Gender Female, 50.3%
Angry 45.4%
Disgusted 45.1%
Surprised 45.2%
Calm 46.6%
Happy 45.1%
Confused 45.2%
Sad 52.4%

Feature analysis

Amazon

Person 96.6%
Horse 92.6%
Painting 81.2%