Human Generated Data

Title

Housing Development, Karlsruhe-Dammerstock, 1928-1929

Date

c. 1928-1929

People

Artist: Unidentified Artist,

Artist: Walter Gropius, German 1883 - 1969

Classification

Archival Material

Human Generated Data

Title

Housing Development, Karlsruhe-Dammerstock, 1928-1929

People

Artist: Unidentified Artist,

Artist: Walter Gropius, German 1883 - 1969

Date

c. 1928-1929

Classification

Archival Material

Machine Generated Data

Tags

Amazon

Home Decor 99.8
Urban 99.8
High Rise 99.8
Town 99.8
City 99.8
Building 99.8
Apartment Building 99.4
Person 93.6
Human 93.6
Window 62.7
Ornament 61.5
Plant 61.5
Tree 61.5
Christmas Tree 61.5
Tarmac 55.9
Asphalt 55.9

Clarifai

no person 99.4
street 99.2
people 98.9
architecture 96.5
home 95.9
house 95.2
monochrome 94.8
many 93.7
group 92.9
building 92.2
city 91
town 86.9
family 86.1
outdoors 85.7
group together 84.4
urban 81
apartment 79.6
window 79.3
road 78.3
adult 78.1

Imagga

balcony 100
architecture 82.7
building 63.2
city 48.3
structure 44.6
urban 34.2
house 33.7
town 33.5
street 30.4
window 30.4
home 28
old 27.9
facade 25.8
apartment 23.1
exterior 21.2
construction 20.6
travel 20.5
windows 20.2
stone 18.6
ancient 18.2
sky 17.9
buildings 17.1
brick 17
residence 16.8
tourism 16.5
historic 15.6
houses 15.5
wall 15.4
residential 15.4
estate 15.2
modern 14.8
tourist 13.6
history 13.5
roof 13.4
landmark 12.7
property 12.6
downtown 12.5
historical 12.3
dwelling 11.9
tower 11.7
lamp 11.5
england 11.5
real 11.4
housing 10.8
office 10.7
architectural 10.6
new 10.6
high 10.4
glass 10.1
flat 9.7
village 9.6
cityscape 9.5
row 9.3
famous 9.3
vacation 9
shutters 8.9
condo 8.9
real estate 8.8
medieval 8.7
classic 8.4
style 8.2
apartments 7.9
narrow 7.9
shutter 7.9
living 7.6
traditional 7.5
boat 7.5
place 7.5
road 7.2

Google

Microsoft

building 99.1
window 96.4
house 94.4
outdoor 93.8
black and white 82.7
sky 82.3
tree 79.5
street 66.9
white 66
old 47.6
apartment building 46.5

Feature analysis

Amazon

Person 93.6%

Captions

Microsoft

a black and white photo of a building 90.6%
a black and white photo of a city street 86.5%
a black and white photo of a street 86.4%