Human Generated Data

Title

Attack on the Forward Defenses of Bone

Date

17th century

People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Matteo Rosselli, Italian 1578 - 1650

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.95.2

Human Generated Data

Title

Attack on the Forward Defenses of Bone

People

Artist: Jacques Callot, French 1592 - 1635

Artist after: Matteo Rosselli, Italian 1578 - 1650

Date

17th century

Classification

Prints

Credit Line

Harvard Art Museums/Fogg Museum, Gift of William Gray from the collection of Francis Calley Gray, by exchange, S3.95.2

Machine Generated Data

Tags

Amazon
created on 2019-04-02

Human 99.7
Person 99.7
Art 98.5
Person 97.2
Person 95.3
Painting 95.2
Person 78.6
Person 74.1
Person 61.6
Person 60.6
Person 58.3
Person 41.5

Clarifai
created on 2018-04-18

people 100
print 99.9
group 99.7
adult 99.7
many 99.6
illustration 99.6
art 99.4
engraving 99.3
man 99
force 99
weapon 98.4
cavalry 98.4
war 97.4
pain 97.2
skirmish 97.2
woodcut 96.7
slavery 96.4
interaction 96.3
administration 96.1
military 95.6

Imagga
created on 2018-04-18

map 56.9
vintage 39.7
representation 38.2
antique 36.5
old 36.3
mosaic 33.3
grunge 30.7
atlas 29.7
art 28.1
retro 27.9
texture 25.7
drawing 25.4
paper 25.1
geography 25
sketch 24.9
world 24.8
transducer 21.6
pattern 20.5
design 19.2
travel 19
ancient 18.2
wallpaper 16.9
navigation 16.4
border 16.3
electrical device 16.2
decoration 15.4
globe 14.8
grungy 14.2
frame 14.2
aged 13.6
history 13.4
decorative 13.4
color 13.4
money 12.8
global 12.8
worn 12.4
capital 12.3
canvas 12.3
dirty 11.8
continent 11.7
country 11.4
tile 11.4
earth 11.2
page 11.1
floral 11.1
cash 11
finance 11
currency 10.8
discovery 10.7
sepia 10.7
states 10.6
style 10.4
device 10.4
planet 10.4
close 10.3
arabesque 10.3
road 9.9
backdrop 9.9
route 9.8
backgrounds 9.7
torn 9.7
detail 9.7
rust 9.6
north 9.6
direction 9.5
nation 9.5
note 9.2
historic 9.2
letter 9.2
city 9.2
business 9.1
gold 9.1
graffito 8.9
geographic 8.9
expedition 8.9
boundary 8.9
navigate 8.8
location 8.8
textured 8.8
banknote 8.7
us 8.7
stained 8.7
plan 8.5
structure 8.5
journey 8.5
flower 8.5
dollar 8.4
tourism 8.3
bank 8.1
graphic 8
lace 8
stamp 7.9
manuscript 7.8
find 7.8
guide 7.8
artistic 7.8
black 7.8
position 7.8
burnt 7.8
tour 7.7
rustic 7.7
paint 7.3

Google
created on 2018-04-18

Microsoft
created on 2018-04-18

text 100
book 96.5
outdoor 85.2
old 69.8
posing 42.7

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 48-68
Gender Female, 63.3%
Surprised 2.4%
Angry 3.6%
Disgusted 2.1%
Confused 2.3%
Happy 7.9%
Calm 69.9%
Sad 11.8%

AWS Rekognition

Age 20-38
Gender Male, 51.7%
Happy 45.4%
Angry 45.3%
Confused 45.2%
Sad 45.4%
Disgusted 45.4%
Surprised 45.6%
Calm 52.7%

AWS Rekognition

Age 26-43
Gender Male, 54.8%
Confused 45.1%
Angry 45.3%
Surprised 45.2%
Calm 54%
Disgusted 45.1%
Happy 45.1%
Sad 45.3%

AWS Rekognition

Age 26-43
Gender Male, 53.5%
Angry 47.1%
Disgusted 46.3%
Confused 45.7%
Sad 47.3%
Calm 47.3%
Surprised 45.5%
Happy 45.8%

AWS Rekognition

Age 15-25
Gender Male, 78.4%
Confused 4.1%
Disgusted 25.8%
Happy 2.2%
Sad 30.7%
Angry 14.2%
Calm 21.3%
Surprised 1.8%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 46.5%
Confused 45.7%
Happy 45.6%
Angry 45.5%
Calm 49.8%
Disgusted 46%
Surprised 46%

AWS Rekognition

Age 4-9
Gender Female, 51.3%
Sad 46.1%
Angry 45.5%
Confused 45.2%
Calm 52.2%
Happy 45.4%
Disgusted 45.1%
Surprised 45.4%

AWS Rekognition

Age 48-68
Gender Female, 51%
Calm 45.9%
Angry 45.3%
Disgusted 45.1%
Surprised 45.2%
Confused 45.2%
Sad 52.3%
Happy 46.1%

AWS Rekognition

Age 45-65
Gender Female, 50.6%
Confused 45.5%
Calm 51%
Disgusted 45.3%
Surprised 45.5%
Sad 45.7%
Angry 45.8%
Happy 46.3%

AWS Rekognition

Age 38-59
Gender Male, 54.3%
Confused 45.7%
Surprised 45.3%
Calm 48.8%
Sad 48.4%
Angry 45.9%
Happy 45.3%
Disgusted 45.7%

AWS Rekognition

Age 45-63
Gender Female, 52.3%
Angry 45.3%
Sad 45.5%
Calm 45.5%
Happy 52.9%
Surprised 45.4%
Disgusted 45.2%
Confused 45.2%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Angry 49.6%
Disgusted 50.3%
Confused 49.5%
Sad 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 29-45
Gender Male, 52%
Confused 45.2%
Sad 48.6%
Surprised 45.4%
Disgusted 45.1%
Happy 45.1%
Calm 49.5%
Angry 46.2%

AWS Rekognition

Age 6-13
Gender Male, 50.4%
Sad 49.6%
Disgusted 49.5%
Happy 49.5%
Calm 49.7%
Angry 50.1%
Confused 49.5%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Male, 53.7%
Disgusted 46.2%
Calm 49.2%
Sad 46.3%
Angry 46.1%
Surprised 45.8%
Confused 45.8%
Happy 45.6%

AWS Rekognition

Age 35-52
Gender Female, 50.2%
Surprised 49.6%
Happy 49.5%
Confused 49.7%
Angry 49.6%
Disgusted 49.6%
Sad 49.6%
Calm 49.9%

Feature analysis

Amazon

Person 99.7%
Painting 95.2%

Categories