Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: The Enamelling Department.

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: The Enamelling Department.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Advertisement 99.7
Poster 99.7
Human 96.2
Person 96.2
Person 93.2
Building 89.9
Person 88.2
Person 86.7
Person 84.4
Person 84
Person 79.4
Person 76.2
Person 76
Factory 72.5
Spoke 65.1
Machine 65.1
Person 64.7
Urban 60.1
Bazaar 59
Shop 59
Market 59

Clarifai

print 98.6
people 98
vehicle 96
group 95
vintage 94.7
no person 93.9
old 93.6
many 93
art 92
watercraft 92
paper 90.9
military 90.4
illustration 90.2
antique 89.9
war 89.3
retro 86.7
transportation system 84.5
house 80.8
man 80.1
winter 79.4

Imagga

drawing 100
sketch 100
representation 98.2
grunge 35.8
vintage 27.3
old 27.2
architecture 21.9
antique 20
city 20
texture 19.5
retro 18
building 17.5
art 17
design 16.9
paper 16.5
landscape 15.6
ancient 15.6
aged 15.4
landmark 14.5
structure 14.4
frame 14.2
sky 13.4
construction 12.8
travel 12.7
border 12.7
dirty 12.7
black 12.6
history 12.5
silhouette 12.4
grungy 12.3
pattern 12.3
wall 12.2
map 12
tower 11.6
tourism 10.7
urban 10.5
forest 10.5
graphic 10.2
house 10
rough 10
worn 9.6
scene 9.5
hill 9.4
town 9.3
mountains 9.3
wallpaper 9.2
paint 9.1
road 9
mountain 8.9
textured 8.8
torn 8.7
water 8.7
snow 8.6
plan 8.5
decoration 8.4
style 8.2
backgrounds 8.1
natural 8
artistic 7.8
color 7.8
space 7.8
empty 7.7
rust 7.7
edge 7.7
stain 7.7
stained 7.7
culture 7.7
winter 7.7
panorama 7.6
power 7.6
historical 7.5
famous 7.4
autumn 7
country 7
scenic 7

Google

Microsoft

text 99.1
book 95.8
drawing 83.5
person 68.9

Face analysis

Amazon

AWS Rekognition

Age 11-18
Gender Female, 50.4%
Sad 50%
Surprised 49.6%
Confused 49.6%
Angry 49.6%
Happy 49.6%
Calm 49.6%
Disgusted 49.7%

AWS Rekognition

Age 45-66
Gender Male, 50.2%
Angry 50%
Surprised 49.5%
Disgusted 49.5%
Calm 49.5%
Sad 49.9%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.5%
Sad 49.8%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Confused 49.6%
Happy 49.8%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Happy 49.7%
Disgusted 49.6%
Surprised 49.6%
Sad 50%
Confused 49.6%
Angry 49.6%
Calm 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.2%
Calm 49.5%
Disgusted 49.6%
Happy 49.8%
Confused 49.6%
Surprised 49.5%
Sad 49.9%
Angry 49.6%

AWS Rekognition

Age 30-47
Gender Male, 50.3%
Sad 50%
Happy 49.6%
Surprised 49.6%
Disgusted 49.5%
Confused 49.5%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Disgusted 49.6%
Confused 49.7%
Surprised 49.6%
Calm 49.5%
Happy 49.5%
Angry 49.7%
Sad 49.8%

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Calm 49.6%
Surprised 49.6%
Happy 49.6%
Disgusted 49.7%
Angry 49.7%
Sad 49.7%
Confused 49.6%

AWS Rekognition

Age 20-38
Gender Male, 50.3%
Angry 49.5%
Surprised 49.5%
Sad 49.9%
Confused 49.5%
Calm 49.5%
Disgusted 50%
Happy 49.5%

AWS Rekognition

Age 16-27
Gender Female, 50.3%
Calm 49.6%
Disgusted 49.6%
Surprised 49.5%
Angry 49.7%
Sad 49.9%
Confused 49.5%
Happy 49.7%

AWS Rekognition

Age 20-38
Gender Female, 50.3%
Calm 49.5%
Disgusted 49.6%
Surprised 49.5%
Confused 49.5%
Angry 49.5%
Sad 50.2%
Happy 49.5%

Feature analysis

Amazon

Poster 99.7%
Person 96.2%

Captions

Microsoft

a close up of a book 35.9%
close up of a book 30.2%
a hand holding a book 30.1%

Text analysis

Amazon

THE
DEPARTMENT
THE ENAMELLING DEPARTMENT
ENAMELLING
I:Atelier
I:Atelier d'emgillerie
d'emgillerie

Google

I:Atelier
DEPARTMENT
d'émaillerie
ENAMELLING
I:Atelier d'émaillerie THE ENAMELLING DEPARTMENT
THE