Human Generated Data

Title

Housing, Improved: Great Britain, England. London. Rowton House: Improved Housing: London: Rowton House, Camden Town, London: Laundry - View of Workhouse

Date

c. 1903

People

Artist: Unidentified Artist,

Classification

Photographs

Human Generated Data

Title

Housing, Improved: Great Britain, England. London. Rowton House: Improved Housing: London: Rowton House, Camden Town, London: Laundry - View of Workhouse

People

Artist: Unidentified Artist,

Date

c. 1903

Classification

Photographs

Machine Generated Data

Tags

Amazon

Person 99.2
Human 99.2
Building 97.2
Factory 91.8
Person 78.3
Person 74.4
Workshop 70.5
Assembly Line 57.3
Urban 55.4

Clarifai

people 99.4
group 98.2
many 97.1
no person 96.3
vehicle 95.6
transportation system 93.5
group together 90.5
watercraft 89.6
industry 89.4
print 89.1
man 84.8
furniture 81.6
adult 81.4
war 79.9
street 78.6
military 76.7
grinder 74.8
monochrome 72.1
commerce 71.5
old 71.4

Imagga

building 100
greenhouse 93.7
structure 86.7
architecture 37.5
house 31.1
construction 25.7
school 23.3
sky 19.1
city 18.3
old 16.7
window 16.5
water 16
home 16
industry 15.4
steel 15
work 14.6
roof 13.7
travel 13.4
wood 13.3
urban 13.1
exterior 12.9
wicker 12.8
build 12.3
wooden 12.3
industrial 11.8
factory 11.7
residential 11.5
new 11.3
modern 11.2
metal 10.5
iron 10.3
warehouse 10.2
sea 10.2
inside 10.1
transportation 9.9
vacation 9.8
interior 9.7
landscape 9.7
business 9.1
tourism 9.1
history 8.9
scene 8.7
floor 8.4
frame 8.3
ocean 8.3
river 8
stall 7.9
design 7.9
wall 7.9
product 7.9
glass 7.8
cloud 7.8
tree 7.7
outdoor 7.6
rattan 7.6
brick 7.5
site 7.5
street 7.4
transport 7.3
tower 7.2
center 7.1
trees 7.1
rural 7

Google

Microsoft

indoor 87.9
table 83.2
black and white 79
old 53.3
furniture 43

Face analysis

Amazon

AWS Rekognition

Age 35-53
Gender Male, 50.2%
Confused 49.5%
Disgusted 49.5%
Sad 49.5%
Angry 49.6%
Surprised 49.5%
Happy 49.5%
Calm 50.3%

AWS Rekognition

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

AWS Rekognition

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

AWS Rekognition

Age 26-43
Gender Female, 50%
Calm 49.7%
Surprised 49.7%
Happy 49.5%
Disgusted 49.8%
Angry 49.6%
Sad 49.6%
Confused 49.5%

AWS Rekognition

Age 26-43
Gender Male, 50%
Sad 49.7%
Happy 49.6%
Surprised 49.5%
Disgusted 49.7%
Confused 49.5%
Calm 49.9%
Angry 49.6%

AWS Rekognition

Age 16-27
Gender Male, 50.3%
Disgusted 49.6%
Happy 49.6%
Angry 49.9%
Calm 49.7%
Surprised 49.5%
Confused 49.6%
Sad 49.7%

Feature analysis

Amazon

Person 99.2%

Captions

Microsoft

an old photo of a building 73%
an old photo of a store 66.3%
old photo of a building 66.2%

Text analysis

Amazon

o
WOEXHOUPL
ViLw
HAUnDRY- ViLw o WOEXHOUPL
HAUnDRY-

Google

www.s
VIEW
WORXHOU$
of
4AUNDRY
-
www.s VIEW of WORXHOU$ 4AUNDRY -