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, 3.2002.2097.2

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, 3.2002.2097.2

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Poster 99.4
Advertisement 99.4
Person 99
Human 99
Person 97.9
Person 97.7
Person 96.2
Person 96
Collage 92.9
Person 86.5
Person 85.2
Horse 82.6
Animal 82.6
Mammal 82.6
Person 81.7
Person 80.1
Outdoors 76.5
Military 74.9
Person 71.7
Military Uniform 71.4
Nature 69
Person 67.8
Soil 63.1
Archaeology 61.7
People 61.2
Countryside 59.5
Army 59.2
Armored 59.2
Apparel 58.7
Clothing 58.7
Person 42.5

Clarifai
created on 2019-06-06

people 99.8
print 99.6
group 99
art 98.6
vintage 97.7
illustration 97.1
adult 97
man 96.5
cavalry 95.8
antique 95.1
retro 95.1
old 94.7
mammal 93
album 93
painting 92.5
paper 91.9
wear 89.2
engraving 89.1
two 88.4
many 86.7

Imagga
created on 2019-06-06

gravestone 100
memorial 100
stone 71.6
structure 58.5
grunge 32.4
old 30
vintage 29.8
antique 28.6
texture 25
aged 22.6
retro 22.1
frame 21.6
grungy 20.9
landscape 20.1
ancient 19.9
fence 18.5
paper 17.3
dirty 17.2
snow 16
space 15.5
rough 15.5
torn 15.5
border 15.4
brown 14.7
blank 14.6
stained 14.4
damaged 14.3
tree 14.2
pattern 13.7
winter 13.6
old fashioned 13.3
empty 12.9
burnt 12.6
aging 12.5
wall 12.4
dirt 12.4
worn 12.4
art 12.4
color 12.2
paint 11.8
field 11.7
parchment 11.5
outdoor 11.5
rural 11.5
weathered 11.4
barrier 11.4
text 11.3
cold 11.2
picket fence 10.8
wallpaper 10.7
material 10.7
park 10.7
trees 10.7
decay 10.6
textured 10.5
outdoors 10.4
forest 10.4
grain 10.2
season 10.1
design 10.1
fog 9.6
obsolete 9.6
sky 9.6
rusty 9.5
canvas 9.5
light 9.4
decorative 9.2
black 9
autumn 8.8
country 8.8
scenic 8.8
crumpled 8.7
messy 8.7
yellow 7.9
stains 7.8
travel 7.7
graphic 7.3
road 7.2

Google
created on 2019-06-06

Photograph 96.3
Snapshot 82
Grass 68.8
Adaptation 67
Room 65.7
Picture frame 65.1
Photography 62.4
Stock photography 59.4
Art 58.1
Grassland 57.8
Farm 54.1
Pasture 53
Bovine 52.5

Microsoft
created on 2019-06-06

text 98.9
grass 98.4
person 80.9
horse 64.5
gallery 53.4
room 48.5
old 40.2
different 34.5

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 17-27
Gender Female, 50.9%
Angry 45.5%
Disgusted 45.3%
Confused 45.1%
Calm 45.1%
Happy 45.1%
Surprised 45.1%
Sad 53.8%

AWS Rekognition

Age 23-38
Gender Female, 50.1%
Angry 49.5%
Surprised 49.6%
Disgusted 49.5%
Sad 49.9%
Happy 49.5%
Confused 49.5%
Calm 49.9%

AWS Rekognition

Age 4-9
Gender Female, 50.1%
Angry 49.6%
Surprised 49.6%
Calm 49.9%
Happy 49.6%
Confused 49.6%
Disgusted 49.5%
Sad 49.7%

AWS Rekognition

Age 6-13
Gender Female, 50.3%
Disgusted 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Surprised 49.5%
Angry 49.8%
Sad 50.1%

AWS Rekognition

Age 20-38
Gender Male, 50%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 9-14
Gender Female, 50.2%
Sad 50%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.9%

AWS Rekognition

Age 26-43
Gender Male, 50.3%
Happy 49.7%
Calm 49.6%
Sad 49.8%
Surprised 49.5%
Angry 49.6%
Confused 49.5%
Disgusted 49.7%

AWS Rekognition

Age 19-36
Gender Male, 50.5%
Happy 49.5%
Disgusted 49.6%
Surprised 49.5%
Sad 49.8%
Confused 49.6%
Angry 49.7%
Calm 49.7%

AWS Rekognition

Age 26-43
Gender Male, 50.4%
Happy 49.6%
Disgusted 49.7%
Surprised 49.5%
Sad 49.8%
Confused 49.6%
Angry 49.6%
Calm 49.7%

AWS Rekognition

Age 9-14
Gender Female, 50.5%
Calm 49.6%
Confused 49.6%
Happy 49.8%
Disgusted 49.6%
Angry 49.6%
Surprised 49.5%
Sad 49.8%

AWS Rekognition

Age 26-43
Gender Male, 50.2%
Confused 49.5%
Disgusted 49.6%
Sad 50.1%
Angry 49.6%
Surprised 49.5%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.8%
Happy 49.6%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Surprised 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Calm 50.2%
Sad 49.5%
Confused 49.5%
Angry 49.5%
Disgusted 49.7%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Calm 50%
Surprised 49.6%
Happy 49.5%
Disgusted 49.6%
Angry 49.5%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.2%
Confused 49.5%
Disgusted 49.6%
Angry 49.6%
Calm 49.6%
Sad 50.1%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.5%
Happy 49.6%
Angry 50.2%
Calm 49.5%
Sad 49.7%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 14-25
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.6%
Surprised 49.5%
Sad 50.2%
Angry 49.6%
Happy 49.5%
Calm 49.6%

AWS Rekognition

Age 35-55
Gender Male, 50.4%
Angry 49.6%
Confused 49.6%
Calm 49.9%
Surprised 49.5%
Sad 49.8%
Happy 49.6%
Disgusted 49.6%

AWS Rekognition

Age 27-44
Gender Female, 50.2%
Happy 49.8%
Sad 49.9%
Angry 49.6%
Surprised 49.5%
Calm 49.6%
Confused 49.5%
Disgusted 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Surprised 49.5%
Sad 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.7%
Disgusted 49.5%
Surprised 49.5%
Confused 49.6%
Angry 49.6%
Sad 50.1%
Happy 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.4%
Calm 49.8%
Disgusted 49.6%
Angry 49.8%
Happy 49.5%
Sad 49.7%
Surprised 49.5%
Confused 49.5%

AWS Rekognition

Age 19-36
Gender Male, 50.3%
Confused 49.5%
Sad 50%
Disgusted 49.5%
Angry 49.5%
Happy 49.5%
Calm 49.9%
Surprised 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.4%
Surprised 49.5%
Happy 49.6%
Sad 50.2%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.6%

Feature analysis

Amazon

Poster 99.4%
Person 99%
Horse 82.6%

Categories

Imagga

paintings art 52.6%
streetview architecture 45.9%
interior objects 1.1%

Captions

Text analysis

Amazon

BELLEVILLOISE
DE
Champs
1907
Juillet
Dans
Dans les Champs
Excursion
Deley,
Cordonneir
LA
les
Paris
Le
Verrieres.
Paris phot.. Cordonneir E. Paris
ONAGE
E.
DE "< LA BELLEVILLOISE
phot..
Excursion a Verrieres. Z Juillet 1907
Deley, Le E. HE
HE
a
"<
Z

Google

Dans les Champs PATRONAGE DE LA BELLEVILLOISE" Excursion à Verrières 7 Jui1let 1907 Hétio, E, Le Deley, Paris Cordonneir phot.. Paris
Dans
les
Champs
PATRONAGE
DE
LA
BELLEVILLOISE"
Excursion
à
Verrières
7
Jui1let
1907
Hétio,
E,
Le
Deley,
Paris
Cordonneir
phot..