Human Generated Data

Title

Taste

Date

17th century

People

Artist: Jan Both, Dutch 1610 - 1652

Artist after: Andries Both, Dutch 1611 - 1642

Classification

Prints

Human Generated Data

Title

Taste

People

Artist: Jan Both, Dutch 1610 - 1652

Artist after: Andries Both, Dutch 1611 - 1642

Date

17th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Person 99.5
Human 99.5
Person 98.3
Person 98
Art 95.5
Person 93.1
Person 91.4
Person 84.7
Painting 83.5
Person 80.5
Person 73.2
Person 60.5
Advertisement 59.3
Poster 59.3

Clarifai

people 100
print 99.8
illustration 99.7
art 99.6
group 99.6
engraving 98.9
adult 98.6
soldier 97.7
weapon 97.6
man 97.5
military 97.2
war 97.1
woodcut 95.2
skirmish 95.1
wear 95
gun 93.7
administration 93.3
many 92.6
cavalry 91.9
etching 91

Imagga

grunge 48.6
vintage 44.7
old 43.2
sketch 43
antique 40.1
graffito 38.2
drawing 38.2
aged 38
retro 36.9
texture 34.8
decoration 31.8
frame 30.8
paper 30.6
ancient 26.8
grungy 24.7
border 23.5
representation 23.4
graphic 21.9
structure 21.3
art 20.4
pattern 19.8
material 19.7
paint 19
dirty 19
blank 18.9
design 18.6
aging 18.2
damaged 18.1
page 17.6
worn 17.2
canvas 17.1
space 17.1
text 16.6
rough 16.4
empty 16.3
grain 15.7
brown 15.5
decay 15.4
edge 15.4
parchment 15.4
snow 15.1
style 14.8
mottled 14.6
flower 14.6
wallpaper 14.6
floral 14.5
dirt 14.3
grime 13.7
wall 13.3
textures 13.3
fracture 12.7
torn 12.6
stained 12.5
obsolete 12.5
memorial 12.4
textured 12.3
black 12
screen 11.8
decorative 11.7
color 11.7
leaf 11.7
burnt 11.7
detailed 11.5
stain 11.5
spot 11.5
old fashioned 11.4
silhouette 10.8
album 10.7
stains 10.7
scrapbook 10.7
crack 10.7
sheet 10.3
backdrop 9.9
card 9.7
brass 8.9
painterly 8.9
smudged 8.9
sepia 8.7
crumpled 8.7
forest 8.7
artistic 8.7
note 8.3
effect 8.2
backgrounds 8.1
digital 8.1
history 8.1
distressed 7.9
manuscript 7.8
scratch 7.8
ragged 7.8
rust 7.7
ink 7.7
weathered 7.6
covering 7.6
element 7.4
letter 7.3
fire screen 7.3
protective covering 7.1

Google

Microsoft

text 98.1
old 71.7

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Female, 52%
Calm 45.2%
Sad 52.5%
Surprised 45.4%
Happy 45.9%
Angry 45.4%
Confused 45.4%
Disgusted 45.3%

AWS Rekognition

Age 48-68
Gender Male, 54.6%
Happy 46.3%
Calm 47.5%
Angry 46.3%
Surprised 45.4%
Sad 46.2%
Confused 45.4%
Disgusted 48.1%

AWS Rekognition

Age 35-55
Gender Male, 54.1%
Disgusted 45.1%
Angry 46.1%
Happy 45.8%
Sad 45.3%
Confused 45.3%
Calm 51.9%
Surprised 45.4%

AWS Rekognition

Age 45-63
Gender Male, 54.8%
Surprised 45.2%
Disgusted 45.1%
Calm 52.6%
Sad 46.3%
Happy 45.2%
Confused 45.3%
Angry 45.3%

AWS Rekognition

Age 26-43
Gender Male, 54%
Sad 46.8%
Surprised 45.5%
Angry 45.9%
Happy 45.2%
Confused 45.4%
Calm 50.7%
Disgusted 45.4%

AWS Rekognition

Age 11-18
Gender Female, 50.3%
Happy 45.4%
Calm 49.7%
Angry 45.7%
Surprised 45.3%
Sad 48.2%
Confused 45.4%
Disgusted 45.2%

AWS Rekognition

Age 26-43
Gender Female, 51.7%
Disgusted 46%
Sad 45.4%
Calm 50%
Angry 46.4%
Surprised 46%
Happy 45.8%
Confused 45.5%

Feature analysis

Amazon

Person 99.5%
Painting 83.5%
Poster 59.3%

Captions

Microsoft

a vintage photo of a person 82.1%
a vintage photo of a person 79.7%
a vintage photo of a group of people posing for the camera 63.3%

Text analysis

Amazon

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Google

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