Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: Automatic Moulding Machine.
Date

c. 1903
People

Artist: Unidentified Artist,

Classification

Photographs
Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2195.2

Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: Automatic Moulding Machine.

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.2195.2

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Assembly Line 99.7
Building 99.7
Factory 99.7
Person 94.1
Human 94.1
Person 93.5
Person 86.6
Person 82.7
Person 75.7
Machine 66.6
Manufacturing 56
Workshop 55.6
Person 52.6
Person 46.1

Clarifai
created on 2019-06-06

watercraft 99.9
people 99.8
vehicle 99.5
military 99.3
war 98.8
warship 98.7
ship 98.2
group 98.2
many 97.9
transportation system 97.5
aircraft 96.4
navy 95.7
no person 95.3
group together 95.1
adult 94.2
battleship 94
skirmish 93.9
man 93.6
print 90.8
weapon 89.9

Imagga
created on 2019-06-06

map 100
representation 56.6
world 34.7
geography 34.7
old 33.4
atlas 33.3
antique 33.1
travel 29.6
globe 27.8
sketch 26.9
drawing 25.8
navigation 25
vintage 24
country 23.7
plan 23.6
paper 22.8
nation 22.7
wreckage 21.8
tourism 20.6
grunge 20.4
city 20
capital 19.9
planet 19.8
continent 19.4
direction 19
sepia 18.5
north 18.2
part 18.1
navigate 17.7
discovery 17.5
global 17.3
gold 17.3
boundary 16.7
texture 16.7
location 16.6
guide 16.6
route 16.6
tour 16.4
road 16.3
journey 16
geographic 15.8
earth 15.6
wallpaper 15.3
business 15.2
expedition 14.8
retro 14.7
ancient 14.7
find 14.7
position 14.6
states 14.5
puzzle 13.2
art 13.2
border 12.7
dirty 12.7
history 12.5
stained 12.5
worn 12.4
land 12.1
explore 11.7
frame 11.7
state 11.5
grungy 11.4
east 11.2
architecture 10.9
torn 10.6
wall 10.4
pattern 10.3
design 10.1
decorative 10
aged 10
rust 9.6
canvas 9.5
outline 9.5
path 9.5
construction 9.4
jigsaw puzzle 9.3
page 9.3
paint 9.1
cartography 8.8
manuscript 8.8
dutch 8.8
burnt 8.7
facility 8.7
rustic 8.6
game 8.6
south 8.4
color 8.3
historic 8.3
newspaper 8.1
topography 7.9
countries 7.8
blank 7.7
house 7.5
backdrop 7.4
detail 7.2
office 7.2

Google
created on 2019-06-06

Motor vehicle 90.1
Furniture 77.7
Toolroom 74.8
Room 74.4
Machine tool 67.1
Machine 65
Table 63.8
History 62.6
Art 50.2

Microsoft
created on 2019-06-06

text 99.4
book 92.7
ship 90.8
aircraft 90.4
airplane 83.5
vehicle 72.3

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 38-57
Gender Male, 50.6%
Angry 45.6%
Calm 46%
Sad 49.8%
Surprised 45.5%
Disgusted 45.7%
Happy 47%
Confused 45.4%

AWS Rekognition

Age 35-53
Gender Female, 52.5%
Sad 53.2%
Angry 45.3%
Calm 45.7%
Confused 45.1%
Happy 45.1%
Disgusted 45.3%
Surprised 45.2%

AWS Rekognition

Age 38-59
Gender Male, 50.5%
Angry 50.1%
Calm 49.8%
Confused 49.5%
Happy 49.5%
Sad 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Male, 50.2%
Angry 49.5%
Calm 49.5%
Surprised 49.5%
Sad 50.4%
Disgusted 49.5%
Happy 49.5%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Happy 49.6%
Sad 50%
Disgusted 49.6%
Angry 49.6%
Calm 49.7%
Surprised 49.5%

AWS Rekognition

Age 4-7
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Calm 49.6%
Disgusted 49.9%
Confused 49.5%
Sad 49.7%
Angry 49.6%

AWS Rekognition

Age 29-45
Gender Female, 50%
Sad 50.3%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.5%
Happy 49.5%
Angry 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.4%
Sad 49.7%
Angry 49.6%
Disgusted 49.5%
Surprised 49.6%
Happy 50%
Calm 49.5%
Confused 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.4%
Confused 49.5%
Angry 49.5%
Disgusted 49.6%
Calm 50.1%
Happy 49.5%
Surprised 49.5%
Sad 49.6%

AWS Rekognition

Age 45-65
Gender Male, 50.2%
Calm 49.8%
Surprised 49.6%
Happy 49.6%
Angry 49.6%
Confused 49.5%
Sad 49.8%
Disgusted 49.6%

AWS Rekognition

Age 26-43
Gender Female, 50.1%
Happy 49.6%
Sad 49.6%
Disgusted 49.7%
Calm 49.8%
Surprised 49.6%
Confused 49.5%
Angry 49.6%

Feature analysis

Amazon

Person 94.1%

Captions

Microsoft
created on 2019-06-06

an old photo of a person 38.6%

Text analysis

Amazon

Batteries
des
AUTOMATIC
n:ouler
AUTOMATIC MOULDING MACHINE
MACHINE
MOULDING
I:'une des Batteries de macliine a n:ouler
de
a
I:'une
macliine

Google

L'une des Batteries de machne à mouler AUTOMATIC MOULDING MACHINE
L'une
des
Batteries
de
machne
à
mouler
AUTOMATIC
MOULDING
MACHINE