Human Generated Data

Title

Centurion Ordering the Cavalry to Slow their Pace

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, 2016.255.15

Human Generated Data

Title

Centurion Ordering the Cavalry to Slow their Pace

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, 2016.255.15

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Art 99.3
Painting 92.8
Human 89.5
Person 89.5
Mammal 81.9
Horse 81.9
Animal 81.9
Mural 81.3
Person 78.7
Person 72.3
Person 70.1
Horse 59.5
Person 48.1
Person 42.1

Clarifai
created on 2018-03-16

people 100
group 99.7
print 99.6
many 99.6
adult 99
military 98
soldier 97.2
man 96.6
cavalry 95.2
illustration 95
art 94.8
group together 94.3
war 93.9
administration 93.8
engraving 93.8
weapon 92.6
uniform 91.9
lithograph 90.8
army 89.5
skirmish 89.4

Imagga
created on 2018-03-16

graffito 100
decoration 100
old 27.8
grunge 25.5
art 22.8
ancient 21.6
vintage 17.4
texture 16.7
wall 16.5
antique 16.4
architecture 16.4
design 15.8
retro 14.7
paper 14.1
pattern 13
travel 12.7
history 12.5
textured 12.3
stone 12
culture 12
style 11.9
color 11.7
sculpture 11.7
frame 11.6
detail 11.3
drawing 10.9
aged 10.9
backgrounds 10.5
building 10.4
wood 10
dirty 9.9
monument 9.3
grain 9.2
historic 9.2
close 9.1
tourism 9.1
black 9
structure 8.8
rusty 8.6
statue 8.6
paint 8.1
border 8.1
painting 8.1
decor 8
surface 7.9
holiday 7.9
scene 7.8
wallpaper 7.7
floral 7.7
temple 7.6
historical 7.5
destination 7.5
traditional 7.5
city 7.5
classic 7.4
graphic 7.3
material 7.1

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

text 100
book 99.7
posing 99.1
outdoor 99
group 91.3
old 90.8
person 85.4
white 71.2
people 68.6
time 51
team 48.4
vintage 40.2

Color Analysis

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 35-52
Gender Male, 54.6%
Surprised 45.6%
Happy 45.9%
Sad 49.4%
Calm 48.2%
Confused 45.3%
Angry 45.4%
Disgusted 45.2%

AWS Rekognition

Age 35-52
Gender Male, 54.3%
Angry 45.7%
Sad 48.6%
Confused 45.7%
Disgusted 45.2%
Surprised 45.5%
Happy 45.8%
Calm 48.5%

AWS Rekognition

Age 35-52
Gender Male, 52.9%
Angry 46.7%
Happy 45.6%
Sad 46.1%
Disgusted 48.3%
Calm 46.6%
Surprised 45.6%
Confused 46%

AWS Rekognition

Age 38-59
Gender Male, 50.1%
Angry 45.7%
Surprised 45.4%
Sad 45.6%
Disgusted 45.1%
Happy 45.3%
Confused 45.1%
Calm 52.9%

AWS Rekognition

Age 30-47
Gender Male, 54.6%
Confused 45.3%
Happy 45.4%
Sad 45.3%
Surprised 45.4%
Disgusted 45.1%
Angry 46.1%
Calm 52.5%

AWS Rekognition

Age 26-44
Gender Male, 54.5%
Confused 45.1%
Angry 45.4%
Happy 45%
Calm 54%
Disgusted 45%
Surprised 45.1%
Sad 45.3%

Microsoft Cognitive Services

Age 64
Gender Male

Feature analysis

Amazon

Painting 92.8%
Person 89.5%
Horse 81.9%