Human Generated Data

Title

Engineers

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, 2016.255.23

Human Generated Data

Title

Engineers

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, 2016.255.23

Machine Generated Data

Tags

Amazon
created on 2019-04-09

Art 93.3
Painting 90.4
Transportation 87.3
Vehicle 86.4
Human 83.5
Person 77.8
Person 73.5
Carriage 72.2
Person 70.9
Horse 70.1
Mammal 70.1
Animal 70.1
Wagon 58
Person 47

Clarifai
created on 2018-03-16

people 100
group 99.6
adult 98.7
print 98.6
many 98.3
cavalry 97.1
military 96.7
administration 95.8
engraving 94.9
soldier 94.9
vehicle 94.7
weapon 94.5
man 94.5
group together 93.9
gun 93.1
war 93
illustration 92.9
transportation system 92.2
mammal 91.8
art 91.6

Imagga
created on 2018-03-16

arabesque 24
old 23.7
texture 20.1
antique 20
design 19.7
vintage 19
grunge 18.7
pattern 17.8
retro 16.4
wallpaper 16.1
decoration 14.8
graphic 14.6
art 14.2
travel 14.1
floral 12.7
wheel 12.5
flower 12.3
metal 12.1
paper 11.8
surface 11.4
city 10.8
transportation 10.7
wall 10.3
street 10.1
aged 9.9
material 9.8
drawing 9.7
style 9.6
element 9.1
backdrop 9.1
road 9
black 9
cart 8.8
detail 8.8
urban 8.7
modern 8.4
vehicle 8.4
color 8.3
frame 8.3
grain 8.3
structure 8.2
transport 8.2
border 8.1
brown 8.1
graffito 8.1
light 8
container 7.9
damask 7.9
textured 7.9
holiday 7.9
colorful 7.9
artistic 7.8
ancient 7.8
plant 7.6
map 7.5
symbol 7.4
backgrounds 7.3
dirty 7.2

Google
created on 2018-03-16

Microsoft
created on 2018-03-16

text 100
book 99.8
outdoor 97.1
posing 83.7
old 80.2
group 70.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-59
Gender Male, 53.3%
Angry 45.2%
Calm 54.3%
Confused 45.1%
Surprised 45%
Sad 45.3%
Disgusted 45%
Happy 45%

AWS Rekognition

Age 35-53
Gender Male, 52.5%
Disgusted 45%
Calm 50.5%
Sad 48.5%
Angry 45.5%
Confused 45.2%
Surprised 45.1%
Happy 45.1%

AWS Rekognition

Age 26-44
Gender Male, 53.8%
Calm 50%
Sad 49.2%
Confused 45.2%
Disgusted 45%
Happy 45.1%
Surprised 45.2%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Male, 52.4%
Calm 45.4%
Angry 52.7%
Surprised 45.3%
Confused 45.2%
Disgusted 45.6%
Happy 45.3%
Sad 45.6%

AWS Rekognition

Age 35-52
Gender Male, 51.6%
Happy 46.2%
Sad 49.9%
Angry 45.6%
Calm 47.8%
Confused 45.2%
Disgusted 45.1%
Surprised 45.2%

AWS Rekognition

Age 26-43
Gender Male, 54.9%
Calm 54.7%
Angry 45.1%
Surprised 45%
Sad 45.1%
Happy 45.1%
Confused 45%
Disgusted 45%

AWS Rekognition

Age 26-43
Gender Male, 54.5%
Surprised 45.2%
Disgusted 45.1%
Happy 45%
Sad 45.6%
Calm 53.3%
Confused 45.3%
Angry 45.4%

AWS Rekognition

Age 35-52
Gender Male, 53.5%
Surprised 46%
Angry 45.6%
Calm 49.8%
Sad 48%
Happy 45.2%
Confused 45.3%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Male, 51.4%
Angry 45.6%
Calm 46.8%
Surprised 45.4%
Disgusted 45.2%
Sad 51.6%
Happy 45.1%
Confused 45.4%

AWS Rekognition

Age 35-52
Gender Male, 52.5%
Surprised 45.2%
Angry 45.3%
Confused 45.1%
Disgusted 45.1%
Happy 45.3%
Sad 45.3%
Calm 53.6%

AWS Rekognition

Age 20-38
Gender Female, 51.2%
Angry 46.3%
Disgusted 45.3%
Surprised 45.5%
Calm 48.3%
Confused 45.5%
Happy 45.3%
Sad 48.9%

Feature analysis

Amazon

Painting 90.4%
Person 77.8%
Horse 70.1%