Human Generated Data

Title

Industrial Problems, Coöperation: Italy. Milan. Coöperative Stores: Coöperative Societies, Italy: Unione Cooperativa, Milano.: Banquet served to 3500 people.
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, 3.2002.2116.1

Human Generated Data

Title

Industrial Problems, Coöperation: Italy. Milan. Coöperative Stores: Coöperative Societies, Italy: Unione Cooperativa, Milano.: Banquet served to 3500 people.

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, 3.2002.2116.1

Machine Generated Data

Tags

Amazon
created on 2019-06-06

Advertisement 99.9
Poster 99.9
Human 99.4
Crowd 99.3
Person 98.9
Person 98.8
Indoors 94
Person 93
Room 92.6
Theater 90.8
Person 89.1
Person 87.9
Person 83.8
Musical Instrument 79.7
Person 78
Person 78
Concert 77.1
Person 76.6
Audience 75.8
Hall 75.6
People 74.4
Marching 74.2
Person 72.6
Person 69.4
Military 65.4
Musician 64.4
Person 63.2
Person 62.5
Auditorium 59.6
Orchestra 56.7
Person 50.9

Clarifai
created on 2019-06-06

people 99.9
many 99.9
group 99.4
crowd 99.3
group together 98.3
adult 96.5
man 95
print 94.8
spectator 94.1
vehicle 93.7
military 92
administration 89.1
illustration 89
transportation system 88.2
war 88.1
cavalry 86.9
lithograph 84.3
leader 83.7
wear 83.3
chair 82.3

Imagga
created on 2019-06-06

carousel 39.8
ride 31.4
architecture 29.7
city 28.2
building 24.4
wagon 24.1
mechanical device 23.7
travel 21.8
wheeled vehicle 20.5
structure 18.5
sky 17.2
station 16.8
old 16
mechanism 15.7
landscape 15.6
tower 15.2
urban 14.8
house 14.3
history 14.3
tourism 14
construction 13.7
cityscape 13.2
vehicle 13
buildings 12.3
facility 12.2
town 12
snow 11.9
river 11.7
roof 11.5
panorama 11.4
water 10.7
container 10.6
scene 10.4
winter 10.2
center 10.1
bridge 9.7
scenic 9.6
drawing 9.4
light 9.3
church 9.2
vintage 9.1
landmark 9
transportation 9
ancient 8.6
grunge 8.5
historical 8.5
stone 8.4
device 8.4
famous 8.4
railway station 8.3
exterior 8.3
historic 8.2
metal 8
business 7.9
train 7.8
culture 7.7
tree 7.7
outdoor 7.6
car 7.6
power 7.5
journey 7.5
field 7.5
hill 7.5
mountains 7.4
athletic facility 7.4
street 7.4
antique 7.3
industrial 7.3
color 7.2
scenery 7.2
mountain 7.2
airship 7.2
coast 7.2
terminal 7.1
rural 7

Google
created on 2019-06-06

Text 85.2
History 60.4
Crowd 57.8
Crew 52.6
Illustration 50.4

Microsoft
created on 2019-06-06

person 95.5
clothing 71.6

Color Analysis

Face analysis

Amazon

AWS Rekognition

Age 26-43
Gender Male, 51.3%
Confused 45.3%
Surprised 45.2%
Angry 45.3%
Happy 47.6%
Sad 47.6%
Calm 48.9%
Disgusted 45.1%

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Happy 49.5%
Angry 49.5%
Calm 49.5%
Sad 50.2%
Surprised 49.5%
Confused 49.6%
Disgusted 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.1%
Happy 49.5%
Sad 49.6%
Confused 49.5%
Calm 49.5%
Angry 50.2%
Disgusted 49.6%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Female, 50.1%
Disgusted 49.7%
Confused 49.6%
Happy 49.5%
Sad 49.8%
Surprised 49.6%
Calm 49.7%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Female, 50%
Confused 49.5%
Disgusted 49.6%
Calm 49.7%
Sad 50%
Angry 49.6%
Happy 49.5%
Surprised 49.5%

AWS Rekognition

Age 26-43
Gender Female, 50.3%
Confused 49.5%
Calm 49.5%
Disgusted 49.6%
Sad 50.2%
Happy 49.6%
Angry 49.5%
Surprised 49.5%

AWS Rekognition

Age 29-45
Gender Male, 50.5%
Angry 49.5%
Calm 49.5%
Confused 49.5%
Happy 49.5%
Sad 50.4%
Disgusted 49.5%
Surprised 49.5%

AWS Rekognition

Age 20-38
Gender Male, 50.1%
Angry 49.5%
Disgusted 49.5%
Calm 49.5%
Surprised 49.5%
Happy 50.4%
Sad 49.5%
Confused 49.5%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Happy 49.5%
Sad 49.9%
Disgusted 49.5%
Calm 49.8%
Surprised 49.5%
Confused 49.5%
Angry 49.6%

AWS Rekognition

Age 17-27
Gender Female, 50%
Calm 50.1%
Confused 49.6%
Happy 49.5%
Disgusted 49.5%
Sad 49.6%
Angry 49.6%
Surprised 49.5%

AWS Rekognition

Age 35-52
Gender Female, 50.4%
Sad 49.6%
Calm 49.8%
Surprised 49.6%
Confused 49.5%
Disgusted 49.6%
Happy 49.9%
Angry 49.6%

AWS Rekognition

Age 35-53
Gender Male, 50.2%
Surprised 49.5%
Happy 49.5%
Sad 50.1%
Angry 49.5%
Disgusted 49.8%
Confused 49.6%
Calm 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50.5%
Surprised 49.5%
Disgusted 49.5%
Sad 49.9%
Calm 49.8%
Confused 49.6%
Angry 49.6%
Happy 49.5%

AWS Rekognition

Age 17-27
Gender Female, 50.5%
Calm 50.1%
Sad 49.6%
Confused 49.6%
Angry 49.5%
Disgusted 49.5%
Surprised 49.6%
Happy 49.5%

Feature analysis

Amazon

Poster 99.9%
Person 98.9%

Categories

Imagga

streetview architecture 46.7%
text visuals 45.1%
paintings art 4.6%
nature landscape 1%

Captions

Microsoft

a person standing in front of a house 40.3%

Text analysis

Amazon

to
people.
served
3500
Banquet served to 3500 people.
Banquet
S

Google

Banquet
served
Banquet served to 3500 people.
to
3500
people.