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, 3.2002.2097.3

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, 3.2002.2097.3

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Bike 100
Transportation 100
Bicycle 100
Vehicle 100
Person 99.7
Human 99.7
Person 99.5
Poster 99.1
Advertisement 99.1
Person 97.7
Wheel 97.1
Machine 97.1
Person 96.6
Wheel 93.9
Person 93.1
Person 90.8
Spoke 88
Person 84.7
Person 82.2
Person 80.3
Train 78.4
Person 78.4
Person 76.5
Person 73.3
Person 70.7
Person 69.4
Wheel 65.7
Sport 62.7
Cyclist 62.7
Sports 62.7
Person 61.3
Text 58.8
Person 56.7
Person 52.9
Person 52.5
Person 52
Person 51.8
Person 46.4
Person 44.2

Clarifai
created on 2019-06-06

people 99.9
print 99.8
group 99.5
carriage 99.4
vehicle 99.1
illustration 99
vintage 98.5
cavalry 98.4
man 98.2
engraving 98.2
wagon 97.5
many 97
art 96.9
adult 96.4
transportation system 95.2
group together 94
old 93.4
two 92.8
lithograph 92.4
retro 91.8

Imagga
created on 2019-06-06

park bench 62
bench 57.8
seat 41.5
grunge 27.2
old 27.2
furniture 25.4
vintage 23.1
retro 20.5
antique 18.4
dirty 16.3
texture 16
art 15.8
aged 15.4
frame 15.1
black 15
newspaper 14.7
wheeled vehicle 14.2
paper 14.1
ancient 13.8
wall 13.7
design 13.5
tricycle 13.2
vehicle 12.8
furnishing 12.7
space 12.4
paint 11.8
border 11.8
decoration 11.6
rust 11.6
product 11.5
tree 11.5
graphic 10.9
pattern 10.9
building 10.8
damaged 10.5
text 10.5
weathered 10.4
daily 10
snow 10
structure 9.8
material 9.8
grungy 9.5
color 9.5
upright 9.3
street 9.2
creation 9.1
sky 8.9
brown 8.8
textured 8.8
light 8.7
empty 8.6
card 8.5
poster 8.5
track 8.4
wood 8.3
city 8.3
outdoors 8.2
musical instrument 8.1
transportation 8.1
man 8.1
film 8.1
autumn 7.9
scratches 7.9
frames 7.8
architecture 7.8
scratch 7.8
messy 7.7
blank 7.7
dirt 7.6
window 7.6
decorative 7.5
piano 7.5
silhouette 7.4
element 7.4
rough 7.3
keyboard instrument 7.2
travel 7

Google
created on 2019-06-06

Microsoft
created on 2019-06-06

text 99.2
tree 99.1
bicycle 97.1
bike 95.3
land vehicle 94
book 93.7
wheel 91.1
vehicle 87.9
bicycle wheel 86
person 70.3
white 64.6
old 45.4

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Female, 50.1%
Happy 49.6%
Sad 49.7%
Angry 49.6%
Surprised 49.6%
Calm 49.7%
Confused 49.6%
Disgusted 49.7%

AWS Rekognition

Age 19-36
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Calm 50.3%
Disgusted 49.5%
Confused 49.5%
Sad 49.6%
Angry 49.5%

AWS Rekognition

Age 4-9
Gender Female, 50.2%
Sad 50.4%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

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

AWS Rekognition

Age 15-25
Gender Female, 50.2%
Angry 49.8%
Surprised 49.5%
Calm 49.6%
Happy 49.5%
Confused 49.5%
Disgusted 49.5%
Sad 50%

AWS Rekognition

Age 14-25
Gender Male, 50.5%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%
Sad 49.9%
Happy 50%
Confused 49.5%
Calm 49.6%

AWS Rekognition

Age 4-9
Gender Female, 50.5%
Sad 49.6%
Angry 49.5%
Disgusted 49.6%
Surprised 49.5%
Happy 50.1%
Calm 49.6%
Confused 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50%
Surprised 49.5%
Happy 49.5%
Sad 49.9%
Angry 49.6%
Disgusted 49.6%
Confused 49.5%
Calm 49.9%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Calm 49.6%
Sad 49.9%
Angry 49.7%
Surprised 49.5%
Disgusted 49.6%
Confused 49.5%
Happy 49.6%

AWS Rekognition

Age 20-38
Gender Female, 50%
Sad 50.2%
Happy 49.5%
Surprised 49.5%
Disgusted 49.5%
Confused 49.6%
Calm 49.6%
Angry 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.5%
Angry 49.5%
Calm 49.8%
Confused 49.7%
Happy 49.5%
Sad 49.9%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Calm 50%
Sad 49.7%
Happy 49.5%
Confused 49.6%
Angry 49.6%
Surprised 49.5%
Disgusted 49.5%

Feature analysis

Amazon

Bicycle 100%
Person 99.7%
Poster 99.1%
Wheel 97.1%
Train 78.4%

Categories

Captions

Text analysis

Amazon

PATRONAGE
Excursion
jeunesse
voituree
Juillet
Une
pleine
pause
joyeuse
route
La
La pause en route
BELLEVILLOISE
en
Une pleine voituree de joyeuse jeunesse
PATRONAGE DE LA BELLEVILLOISE
DE
LA
Verrieres-
Excursion a Verrieres- Z Juillet 190Z
de
190Z
a
Z

Google

La pause en route Une pleine voiturée de joyeuse jeunesse PATRONAGE DE LA BELLEVILLOISE " Excursion à Verrières 7 Juillet 1907
La
pause
en
route
Une
pleine
voiturée
de
joyeuse
jeunesse
PATRONAGE
DE
LA
BELLEVILLOISE
"
Excursion
à
Verrières
7
Juillet
1907