Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: Group of Workmen: The Noon Hour.
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, 3.2002.2194.3

Human Generated Data

Title

Industrial Problems, Welfare Work: France. Guise. Familistère de Guise: Le Familistère de Guise (founded by M. Godin, 1859), Guise, France: Group of Workmen: The Noon Hour.

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, 3.2002.2194.3

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Human 98.4
Person 98.4
Poster 98.4
Advertisement 98.4
Person 90.4
Building 84.7
Person 82.8
Person 75.9
Person 74.7
Nature 74
Outdoors 73.7
Person 71.5
Military 71
Person 66.5
Crowd 65.2
People 64.3
Text 63.8
Military Uniform 57.9
Factory 55.6
Person 52.2

Clarifai
created on 2019-06-06

people 99.7
many 99.2
military 97.3
group 97.1
vehicle 95.5
print 94.1
war 92.8
crowd 92.5
adult 91.9
group together 90.9
wear 89.3
man 86.6
old 85.5
transportation system 85.2
watercraft 85.1
cavalry 84.6
art 83.3
retro 82.7
river 80.6
soldier 80.5

Imagga
created on 2019-06-06

structure 35.8
landscape 31.3
billboard 29.4
signboard 24
freight car 23.5
old 23
snow 21.6
sky 21.3
grunge 20.5
trees 18.7
car 18.6
city 17.5
vintage 17.4
tree 17
wheeled vehicle 16.4
travel 16.2
antique 14.7
architecture 14.1
scenic 14.1
texture 13.9
fog 13.5
building 13.4
grungy 13.3
rough 12.8
dirty 12.7
memorial 12.6
field 12.6
damaged 12.4
tourism 12.4
weather 12.2
forest 12.2
gravestone 12.2
cold 12.1
border 11.8
scenery 11.7
web site 11.7
horizon 11.7
graphic 11.7
frame 11.7
retro 11.5
black 11.4
stone 11.3
design 11.3
cloud 11.2
art 11.2
clouds 11
season 10.9
vehicle 10.9
material 10.7
negative 10.7
rural 10.6
scene 10.4
ancient 10.4
grass 10.3
winter 10.2
space 10.1
countryside 10.1
water 10
paint 10
tower 9.9
country 9.7
summer 9.7
edge 9.6
film 9.6
sea 9.4
environment 9.1
mountain 9
history 9
pattern 8.9
designed 8.9
layered 8.9
layer 8.7
cemetery 8.6
culture 8.6
climate 8.5
cloudy 8.4
outdoor 8.4
university 8.3
grain 8.3
historic 8.3
park 8.2
aged 8.2
landmark 8.1
coast 8.1
river 8
holiday 7.9
urban 7.9
mess 7.9
frames 7.8
noise 7.8
mist 7.7
messy 7.7
collage 7.7
mask 7.7
panorama 7.6
old fashioned 7.6
weathered 7.6
buildings 7.6
tourist 7.5
famous 7.5
smoke 7.4
element 7.4
mountains 7.4
vacation 7.4
spring 7.1
day 7.1

Google
created on 2019-06-06

Photograph 95.1
Text 90.3
Snapshot 82.5
History 81.4
Illustration 68.1
Adaptation 67
Room 65.7
Photography 62.4
Stock photography 59.4
Paper product 57.7
Crowd 50.7
Art 50.2

Microsoft
created on 2019-06-06

person 90.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 10-15
Gender Male, 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 26-43
Gender Female, 50.4%
Angry 49.5%
Surprised 49.5%
Sad 50.2%
Confused 49.5%
Calm 49.5%
Disgusted 49.5%
Happy 49.7%

AWS Rekognition

Age 14-23
Gender Female, 50.1%
Sad 49.5%
Confused 49.5%
Surprised 49.5%
Happy 49.5%
Angry 50.4%
Disgusted 49.5%
Calm 49.5%

AWS Rekognition

Age 15-25
Gender Male, 50.3%
Sad 49.7%
Calm 49.5%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Happy 49.6%
Angry 50%

AWS Rekognition

Age 35-52
Gender Female, 50.3%
Calm 50%
Surprised 49.5%
Happy 49.6%
Angry 49.6%
Confused 49.5%
Sad 49.7%
Disgusted 49.6%

AWS Rekognition

Age 35-52
Gender Male, 50.2%
Sad 50.1%
Calm 49.6%
Surprised 49.5%
Confused 49.5%
Disgusted 49.6%
Happy 49.5%
Angry 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.3%
Calm 49.7%
Confused 49.6%
Happy 49.7%
Disgusted 49.6%
Sad 49.8%
Angry 49.6%
Surprised 49.6%

AWS Rekognition

Age 23-38
Gender Female, 50.4%
Confused 49.6%
Disgusted 49.6%
Sad 49.8%
Angry 49.6%
Surprised 49.5%
Happy 49.6%
Calm 49.9%

AWS Rekognition

Age 35-53
Gender Male, 50%
Sad 49.8%
Confused 49.5%
Calm 49.9%
Disgusted 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.6%

AWS Rekognition

Age 10-15
Gender Male, 50%
Disgusted 49.8%
Confused 49.5%
Calm 49.5%
Surprised 49.5%
Happy 49.5%
Sad 50%
Angry 49.5%

AWS Rekognition

Age 29-45
Gender Female, 50.4%
Calm 49.6%
Sad 50.4%
Confused 49.5%
Angry 49.5%
Disgusted 49.5%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

Age 23-38
Gender Male, 50.1%
Confused 49.7%
Disgusted 49.5%
Calm 49.6%
Sad 50%
Angry 49.6%
Happy 49.5%
Surprised 49.6%

AWS Rekognition

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

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Confused 49.5%
Angry 49.6%
Disgusted 49.6%
Calm 50.1%
Happy 49.5%
Surprised 49.6%
Sad 49.6%

AWS Rekognition

Age 35-55
Gender Female, 50.4%
Sad 49.7%
Angry 49.6%
Disgusted 49.6%
Surprised 49.6%
Happy 49.5%
Calm 50%
Confused 49.6%

AWS Rekognition

Age 19-36
Gender Female, 50.4%
Angry 49.5%
Happy 49.6%
Confused 49.5%
Surprised 49.5%
Sad 50.1%
Disgusted 49.6%
Calm 49.7%

AWS Rekognition

Age 23-38
Gender Female, 50.5%
Sad 49.7%
Confused 49.6%
Calm 49.7%
Disgusted 49.6%
Angry 49.6%
Surprised 49.6%
Happy 49.8%

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 50.2%
Angry 49.6%
Disgusted 49.6%
Confused 49.6%
Calm 49.9%
Happy 49.6%
Surprised 49.6%
Sad 49.7%

AWS Rekognition

Age 15-25
Gender Female, 50.5%
Happy 49.7%
Angry 49.6%
Calm 49.8%
Sad 49.7%
Surprised 49.6%
Confused 49.5%
Disgusted 49.6%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 10-15
Gender Male, 50.5%
Sad 49.6%
Disgusted 50%
Surprised 49.5%
Happy 49.5%
Confused 49.5%
Calm 49.5%
Angry 49.8%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 35-53
Gender Female, 50.5%
Calm 49.5%
Happy 50%
Sad 49.8%
Angry 49.5%
Confused 49.6%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 19-36
Gender Female, 50.3%
Angry 49.6%
Surprised 49.6%
Disgusted 49.6%
Sad 49.8%
Happy 49.6%
Confused 49.6%
Calm 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.2%
Angry 49.6%
Surprised 49.6%
Calm 49.6%
Happy 49.7%
Confused 49.6%
Disgusted 49.7%
Sad 49.7%

AWS Rekognition

Age 20-38
Gender Male, 50.5%
Calm 49.5%
Sad 49.6%
Confused 49.6%
Angry 50.2%
Disgusted 49.6%
Surprised 49.5%
Happy 49.5%

AWS Rekognition

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

AWS Rekognition

Age 14-25
Gender Female, 50.3%
Sad 49.8%
Angry 50.1%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 38-57
Gender Female, 50.1%
Confused 49.5%
Happy 49.5%
Sad 49.6%
Disgusted 49.6%
Angry 49.7%
Calm 50%
Surprised 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.4%
Sad 49.6%
Angry 50.2%
Confused 49.5%
Happy 49.6%
Disgusted 49.5%
Surprised 49.5%
Calm 49.6%

AWS Rekognition

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

AWS Rekognition

Age 26-44
Gender Female, 50.5%
Calm 49.6%
Surprised 49.5%
Happy 49.6%
Disgusted 49.9%
Angry 49.6%
Sad 49.8%
Confused 49.5%

AWS Rekognition

Age 14-23
Gender Female, 50.3%
Sad 49.8%
Calm 49.5%
Happy 49.6%
Surprised 49.5%
Angry 50.1%
Disgusted 49.5%
Confused 49.5%

AWS Rekognition

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

AWS Rekognition

Age 11-18
Gender Female, 50.1%
Surprised 49.6%
Disgusted 49.6%
Sad 49.8%
Calm 49.7%
Confused 49.6%
Angry 49.6%
Happy 49.6%

AWS Rekognition

Age 6-13
Gender Female, 50.4%
Angry 49.5%
Happy 49.5%
Confused 49.5%
Surprised 49.5%
Sad 49.6%
Disgusted 49.5%
Calm 50.2%

Feature analysis

Amazon

Person 98.4%
Poster 98.4%

Categories

Imagga

text visuals 50.3%
streetview architecture 41.9%
nature landscape 5.7%

Captions

Microsoft
created on 2019-06-06

an old photo of a person 58.9%
an old photo of a person 58.8%
a person posing for a photo 58.2%

Text analysis

Amazon

des
Sortie
I:a
I:a Sortie des Ouyriers
THE
Ouyriers
GROUp
Hfour.
GROUp OF WORKMEN: THE ooN Hfour.
OF
WORKMEN:
ooN

Google

Ia Sortie des Ouvriers GROUP OF WORKMEN: THE NOON HOUR
Ia
Sortie
des
Ouvriers
GROUP
OF
WORKMEN:
THE
NOON
HOUR