Machine Generated Data
Tags
Amazon
created on 2022-06-04
Imagga
created on 2022-06-04
freight car | 100 | |
| ||
car | 100 | |
| ||
wheeled vehicle | 100 | |
| ||
vehicle | 73.5 | |
| ||
conveyance | 33.8 | |
| ||
architecture | 26.6 | |
| ||
city | 26.6 | |
| ||
building | 22.9 | |
| ||
travel | 21.1 | |
| ||
transportation | 20.6 | |
| ||
train | 20.2 | |
| ||
transport | 17.3 | |
| ||
night | 15.1 | |
| ||
station | 15 | |
| ||
old | 13.2 | |
| ||
urban | 13.1 | |
| ||
rail | 12.8 | |
| ||
railroad | 11.8 | |
| ||
landmark | 11.7 | |
| ||
business | 10.9 | |
| ||
railway | 10.8 | |
| ||
technology | 10.4 | |
| ||
house | 10 | |
| ||
light | 10 | |
| ||
tourism | 9.9 | |
| ||
sky | 9.6 | |
| ||
cityscape | 9.5 | |
| ||
water | 9.3 | |
| ||
boat | 9.3 | |
| ||
cars | 8.8 | |
| ||
sea | 8.6 | |
| ||
traffic | 8.5 | |
| ||
structure | 8.5 | |
| ||
industry | 8.5 | |
| ||
famous | 8.4 | |
| ||
town | 8.3 | |
| ||
office | 8.3 | |
| ||
historic | 8.2 | |
| ||
financial | 8 | |
| ||
ship | 8 | |
| ||
transit | 7.9 | |
| ||
black | 7.8 | |
| ||
art | 7.8 | |
| ||
palace | 7.7 | |
| ||
construction | 7.7 | |
| ||
downtown | 7.7 | |
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international | 7.6 | |
| ||
finance | 7.6 | |
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destination | 7.5 | |
| ||
vintage | 7.4 | |
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lights | 7.4 | |
| ||
speed | 7.3 | |
| ||
tourist | 7.2 | |
| ||
road | 7.2 | |
| ||
tower | 7.2 | |
| ||
modern | 7 | |
|
Google
created on 2022-06-04
Building | 95.3 | |
| ||
Black-and-white | 85.4 | |
| ||
Style | 83.8 | |
| ||
Facade | 78.4 | |
| ||
Monochrome | 77.5 | |
| ||
Monochrome photography | 76.9 | |
| ||
City | 74.4 | |
| ||
Symmetry | 74.2 | |
| ||
Font | 73.7 | |
| ||
Rectangle | 70.8 | |
| ||
Art | 69.7 | |
| ||
House | 69 | |
| ||
Street | 66.8 | |
| ||
Advertising | 62.3 | |
| ||
Negative | 61.5 | |
| ||
Window | 60.3 | |
| ||
Room | 60 | |
| ||
Machine | 59.4 | |
| ||
Mixed-use | 58.8 | |
| ||
History | 58.3 | |
|
Microsoft
created on 2022-06-04
black and white | 97.3 | |
| ||
text | 94.8 | |
| ||
white | 75.5 | |
| ||
building | 59.9 | |
| ||
monochrome | 58.7 | |
| ||
street | 51 | |
|
Color Analysis
Feature analysis
Amazon
Person | 79.3% | |
|
Text analysis
Amazon
MEN
WOMEN
WINTER
TO
TO LE
LE
ST.
lunch
....
.... CO
*11- #9 WINTER ST.
CO
-AND-
#106D.
GILCERIST
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FOR-
-
#9
Her NO . -
Her
COMITSO
NO .
FOR
MEN
-AND
WOMEN
unch
FOR-
MEN
-AND-
WOMEN
TO LE
106D.
GILCHRIST
A
*11- #9 WINTER ST.
CO
APR /1912.
unch
TO
LE
106D
.
GILCHRIST
A
*
11-
#
9
WINTER
ST
CO
APR
/
1912