Human Generated Data

Title

Untitled (interior view of drug store from back of store)

Date

1950-1955

People

Artist: Orrion Barger, American active 1913 - 1984

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.6590

Human Generated Data

Title

Untitled (interior view of drug store from back of store)

People

Artist: Orrion Barger, American active 1913 - 1984

Date

1950-1955

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2019-03-26

Clarifai
created on 2019-03-26

transportation system 96.9
people 95.2
grinder 94.9
monochrome 92.3
street 92.2
industry 92
business 88.2
stock 87.9
vehicle 86.8
no person 86.6
city 85.9
commerce 84
many 83.8
railway 79.4
group 78.4
train 76.9
group together 76.4
adult 75.7
travel 74.1
architecture 73.8

Imagga
created on 2019-03-26

city 59.1
center 53.3
cockpit 42.1
urban 41.1
architecture 39.4
cityscape 38.8
skyline 38
building 37.1
skyscraper 35.5
aerial 31.1
buildings 30.3
tower 29.6
downtown 27.9
landmark 26.2
travel 24.7
night 24
modern 23.8
famous 23.3
business 22.5
high 20.8
street 20.3
panorama 20
scene 19.9
tourism 19.8
tall 19.8
town 19.5
sky 19.1
office 19.1
financial 18.7
equipment 18.1
new 17.8
skyscrapers 17.6
tourist 15.4
river 15.1
metropolis 14.7
sunset 14.4
structure 14.3
landscape 13.4
corporate 12.9
empire 12.8
evening 12.2
apparatus 12.1
lights 12.1
metropolitan 11.9
sequencer 11.8
road 11.8
above 11.6
electronic equipment 11.5
finance 11
district 10.7
united 10.5
exterior 10.1
dark 10
midtown 9.9
vacation 9.8
scenic 9.7
technology 9.7
state 9.6
capital 9.5
business district 9.5
top 9.2
construction 8.6
china 8.5
church 8.3
data 8.2
light 8
computer 8
design 7.9
sightseeing 7.8
old 7.7
dusk 7.6
contemporary 7.5
commercial 7.5
destination 7.5
mixer 7.4
digital 7.3
life 7

Google
created on 2019-03-26

Microsoft
created on 2019-03-26

Feature analysis

Amazon

Train 71.4%

Captions

Microsoft

a black and white photo of a train station 59.9%
a double photo of a train station 43%
a black and white photo of a crowd 42.9%

Text analysis

Amazon

REMEDIES
Ead
SEEATO
ISA

Google

REMEDIES
REMEDIES