Human Generated Data

Title

Industrial Problems, Coöperation: Europe. France. Paris: La Bellevilloise: Coöperative Societies, France: La Bellevillaise Socialist Coöperative Society in Paris 1907: Holiday Excursion of the Members and their Families
Date

c. 1907
People

Artist: Edouard Cordonnier, French active c. 1890s

Printer: E. Le Deley, French active c. 1900
Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2097.4

Human Generated Data

Title

Industrial Problems, Coöperation: Europe. France. Paris: La Bellevilloise: Coöperative Societies, France: La Bellevillaise Socialist Coöperative Society in Paris 1907: Holiday Excursion of the Members and their Families

People

Artist: Edouard Cordonnier, French active c. 1890s

Printer: E. Le Deley, French active c. 1900

Date

c. 1907

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2097.4

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Advertisement 99.5
Poster 99.5
Person 99
Human 99
Person 98.8
Person 98.5
Person 98.3
Person 98.1
Person 98
Person 96.5
Person 93.6
Person 93.3
Person 90.8
Text 88.7
Person 87.5
Person 87.3
Person 87
Person 86.2
Person 80.2
Person 77.2
Person 74.9
Person 72.9
Person 72.7
Person 68.8
Transportation 68.6
Funeral 67.5
Person 67.4
Vehicle 67.4
Person 58.2
Person 54.7
Person 50.5
Person 47.6
Person 47.5
Person 42.4

Clarifai
created on 2019-06-06

people 99.9
print 99.8
group 99.6
many 98.4
adult 98.1
vehicle 97.3
lithograph 96.9
man 96.4
military 96.4
war 96
illustration 96
vintage 95.4
art 94.1
bill 93.9
engraving 93.1
cavalry 90.5
text 89.1
leader 88.6
soldier 88.3
woodcut 87.9

Imagga
created on 2019-06-06

newspaper 40.7
grunge 36.6
product 31.6
vintage 30.6
old 28.6
snow 25.3
creation 24.6
daily 24.4
texture 22.9
antique 22.5
frame 22.5
retro 22.1
art 20.2
black 19.8
billboard 19.7
structure 19.5
border 19
aged 18.1
winter 17.9
landscape 17.9
paper 17.3
grungy 17.1
ancient 15.6
cold 15.5
dirty 15.4
signboard 15.1
pattern 15
paint 14.5
design 14.1
season 14
tree 13.4
damaged 13.4
trees 13.3
brown 13.2
book jacket 13
rough 12.8
space 12.4
fence 12.4
text 12.2
decoration 12
dirt 11.5
blank 11.1
film 10.8
rural 10.6
forest 10.4
artistic 10.4
picket fence 10.3
jacket 10.1
tricycle 9.7
messy 9.7
collage 9.6
rust 9.6
sky 9.6
negative 9.6
worn 9.5
weathered 9.5
weather 9.4
card 9.4
page 9.3
wheeled vehicle 9.2
decorative 9.2
dark 9.2
wood 9.2
letter 9.2
digital 8.9
circa 8.9
designed 8.9
layered 8.8
mess 8.8
scratch 8.8
textured 8.8
graphic 8.8
edge 8.7
frost 8.6
mask 8.6
frozen 8.6
peaceful 8.2
drawing 8.2
material 8
computer 8
vehicle 8
noisy 7.9
photographic 7.8
frames 7.8
noise 7.8
architecture 7.8
color 7.8
travel 7.7
empty 7.7
layer 7.7
fog 7.7
wrapping 7.7
wall 7.7
stain 7.7
wallpaper 7.7
old fashioned 7.6
barrier 7.5
natural 7.4
copy space 7.2
envelope 7.2
history 7.2
cool 7.1
country 7
scenic 7
seasonal 7

Google
created on 2019-06-06

Photograph 95
Motor vehicle 90.1
Vehicle 71.2
Vintage advertisement 69.4
History 60.4
Paper product 57.7
Car 56.4
Paper 51

Microsoft
created on 2019-06-06

text 99.4
person 88.1
old 88.1
vehicle 75.6
land vehicle 74
vintage 63.2
nostalgia 54.5
posing 51.9

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Angry 46.1%
Sad 48%
Calm 49.4%
Disgusted 45.5%
Happy 45.1%
Surprised 45.3%
Confused 45.5%

AWS Rekognition

Age 29-45
Gender Female, 50%
Happy 49.5%
Sad 50.3%
Angry 49.7%
Surprised 49.5%
Calm 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Surprised 49.5%
Disgusted 50%
Calm 49.6%
Sad 49.7%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.3%
Calm 49.5%
Confused 49.5%
Happy 50.3%
Disgusted 49.5%
Sad 49.6%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.2%
Happy 49.6%
Disgusted 49.6%
Angry 49.7%
Confused 49.6%
Calm 49.6%
Surprised 49.5%
Sad 50%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.6%
Happy 49.6%
Disgusted 49.9%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Calm 49.5%
Disgusted 49.5%
Surprised 49.5%
Angry 49.5%
Sad 49.5%
Confused 49.5%
Happy 50.5%

AWS Rekognition

Age 23-38
Gender Male, 50.2%
Sad 50%
Surprised 49.5%
Confused 49.6%
Angry 49.7%
Happy 49.5%
Calm 49.6%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Sad 50.2%
Calm 49.7%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Confused 49.6%
Sad 49.7%
Disgusted 49.7%
Angry 49.6%
Happy 49.6%
Calm 49.8%
Surprised 49.6%

AWS Rekognition

Age 26-43
Gender Female, 52%
Surprised 45.3%
Happy 45.4%
Sad 50.5%
Angry 45.7%
Disgusted 45.5%
Confused 45.2%
Calm 47.3%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.5%
Sad 50.4%
Happy 49.5%
Confused 49.5%
Angry 49.5%
Surprised 49.5%
Disgusted 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Surprised 49.5%
Disgusted 49.5%
Angry 50.4%
Sad 49.6%
Happy 49.5%
Confused 49.5%
Calm 49.5%

AWS Rekognition

Age 26-44
Gender Female, 50.1%
Disgusted 49.8%
Happy 49.5%
Angry 49.6%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Angry 49.5%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 50.3%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.1%
Angry 45.5%
Surprised 45.1%
Disgusted 45.2%
Sad 53.9%
Happy 45.2%
Confused 45%
Calm 45%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Calm 45.7%
Sad 45.1%
Happy 45.8%
Confused 45.2%
Angry 45.2%
Surprised 45.2%
Disgusted 52.8%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Angry 49.6%
Surprised 49.6%
Disgusted 49.9%
Calm 49.7%
Sad 49.5%
Happy 49.7%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.5%
Disgusted 49.5%
Confused 49.5%
Surprised 49.5%
Calm 49.5%
Happy 49.6%
Angry 49.5%
Sad 50.4%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Angry 49.5%
Surprised 49.5%
Sad 49.5%
Confused 49.5%
Calm 50.3%
Disgusted 49.6%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.1%
Confused 49.6%
Surprised 49.6%
Angry 49.6%
Happy 49.6%
Sad 49.8%
Calm 49.7%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Female, 52.9%
Sad 46.8%
Calm 45.4%
Surprised 45.3%
Confused 45.3%
Disgusted 51.3%
Happy 45.4%
Angry 45.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Disgusted 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.5%
Surprised 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 4-9
Gender Female, 53.2%
Sad 51.2%
Angry 45.5%
Confused 45.4%
Happy 45%
Disgusted 45.5%
Surprised 45.5%
Calm 46.8%

Feature analysis

Amazon

Poster 99.5%
Person 99%

Categories

Imagga

paintings art 87.8%
streetview architecture 12.2%

Text analysis

Amazon

Bellevilloise
Symphonie
choristes
PATRONAGE
Juillet
voiture
Paris
Cordonnier,
Excursion
la
La
de
Les choristes
La voiture de la Symphonie de La Bellevilloise
BELLEVILLOISE
De'ey,
Les
LA
Verrieres
Paris,
Paris Cordonnier, Paris, phot., E. De'ey, Le
Le
PATRONAGE DF LA BELLEVILLOISE
phot.,
a
E.
Excursion a Verrieres 7 Juillet 1907
1907
de E La
DF
Hel
E
7

Google

Les choristes de "La Bellevilloise T La voiture de la Symphonie de La Bellevilloise " PATRONAGE DE LA BELLEVILLOISE Excursion à Verrières 7 Juil1let 1907 Le Deley, Cordonnier,
Les
choristes
de
"La
Bellevilloise
T
La
voiture
la
Symphonie
"
PATRONAGE
DE
LA
BELLEVILLOISE
Excursion
à
Verrières
7
Juil1let
1907
Le
Deley,
Cordonnier,