Machine Generated Data
Tags
Amazon
created on 2022-02-05
Vehicle | 81 | |
| ||
Transportation | 81 | |
| ||
Meal | 70.6 | |
| ||
Food | 70.6 | |
| ||
Building | 67.7 | |
| ||
Advertisement | 65.8 | |
| ||
Text | 65.3 | |
| ||
Nature | 62.8 | |
| ||
Outdoors | 62.1 | |
| ||
Train | 60.4 | |
|
Clarifai
created on 2023-10-29
monochrome | 99.6 | |
| ||
transportation system | 99.4 | |
| ||
people | 97.5 | |
| ||
train | 97.2 | |
| ||
vehicle | 96.4 | |
| ||
adult | 94.7 | |
| ||
horizontal plane | 93.8 | |
| ||
street | 90.8 | |
| ||
no person | 90.6 | |
| ||
outdoors | 90.5 | |
| ||
railway | 88.8 | |
| ||
two | 87 | |
| ||
black and white | 85.7 | |
| ||
locomotive | 84 | |
| ||
one | 83.4 | |
| ||
tram | 82.4 | |
| ||
cable car | 80.1 | |
| ||
city | 79.6 | |
| ||
vehicle window | 79.2 | |
| ||
three | 78.4 | |
|
Imagga
created on 2022-02-05
passenger car | 100 | |
| ||
car | 100 | |
| ||
wheeled vehicle | 100 | |
| ||
vehicle | 82.6 | |
| ||
train | 46.4 | |
| ||
transportation | 39.4 | |
| ||
conveyance | 38.3 | |
| ||
transport | 34.7 | |
| ||
travel | 34.5 | |
| ||
railroad | 30.4 | |
| ||
station | 27.6 | |
| ||
railway | 26.5 | |
| ||
freight car | 25.4 | |
| ||
rail | 23.5 | |
| ||
city | 23.3 | |
| ||
speed | 20.1 | |
| ||
track | 18.8 | |
| ||
urban | 18.3 | |
| ||
journey | 17.9 | |
| ||
wagon | 16.5 | |
| ||
motion | 16.3 | |
| ||
locomotive | 15.5 | |
| ||
move | 15.3 | |
| ||
passenger | 14.7 | |
| ||
engine | 14.4 | |
| ||
traffic | 14.2 | |
| ||
subway | 13.8 | |
| ||
architecture | 13.3 | |
| ||
fast | 13.1 | |
| ||
rails | 12.8 | |
| ||
sky | 12.1 | |
| ||
building | 12 | |
| ||
transit | 11.8 | |
| ||
tracks | 11.8 | |
| ||
platform | 11.8 | |
| ||
cargo | 11.6 | |
| ||
perspective | 11.3 | |
| ||
old | 11.1 | |
| ||
line | 11.1 | |
| ||
business | 10.9 | |
| ||
road | 10.8 | |
| ||
water | 10.7 | |
| ||
trip | 10.4 | |
| ||
destination | 10.3 | |
| ||
historic | 10.1 | |
| ||
tourism | 9.9 | |
| ||
metro | 9.9 | |
| ||
departure | 9.8 | |
| ||
modern | 9.8 | |
| ||
voyage | 9.8 | |
| ||
industry | 9.4 | |
| ||
blur | 9.3 | |
| ||
diesel | 8.8 | |
| ||
route | 8.8 | |
| ||
traveling | 8.7 | |
| ||
tube | 8.7 | |
| ||
moving | 8.6 | |
| ||
bridge | 8.5 | |
| ||
movement | 8.5 | |
| ||
electric | 8.4 | |
| ||
boat | 8.4 | |
| ||
outdoors | 8.2 | |
| ||
tunnel | 8.2 | |
| ||
scenery | 8.1 | |
| ||
railing | 8 | |
| ||
rural | 7.9 | |
| ||
commuting | 7.9 | |
| ||
passengers | 7.9 | |
| ||
carriage | 7.9 | |
| ||
underground | 7.9 | |
| ||
people | 7.8 | |
| ||
public | 7.8 | |
| ||
way | 7.7 | |
| ||
ship | 7.6 | |
| ||
history | 7.2 | |
|
Google
created on 2022-02-05
Black | 89.5 | |
| ||
Font | 81.2 | |
| ||
Rectangle | 80.3 | |
| ||
Gas | 77.4 | |
| ||
Facade | 74 | |
| ||
Monochrome photography | 71.8 | |
| ||
Monochrome | 69.2 | |
| ||
Automotive exterior | 68.5 | |
| ||
Metal | 66.5 | |
| ||
Advertising | 65.7 | |
| ||
Automotive lighting | 61.8 | |
| ||
Logo | 61 | |
| ||
Grille | 55.8 | |
| ||
Number | 55 | |
| ||
Auto part | 52.7 | |
| ||
Luxury vehicle | 52.5 | |
|
Microsoft
created on 2022-02-05
text | 99.7 | |
| ||
train | 97.2 | |
| ||
black and white | 93.1 | |
| ||
black | 84.5 | |
| ||
old | 76.2 | |
| ||
monochrome | 69.3 | |
| ||
white | 61.6 | |
| ||
vintage | 38.7 | |
|
Color Analysis
Feature analysis
Amazon
Train

Train | 60.4% | |
|
Categories
Imagga
cars vehicles | 99.8% | |
|
Captions
Microsoft
created on 2022-02-05
a vintage photo of a person | 72.7% | |
| ||
a vintage photo of a sign | 72.6% | |
| ||
a vintage photo of a suitcase | 57.3% | |
|
Text analysis
Amazon

AND

BARNUM

VALVE

CLEANED

3

&

16254A

5

VALVE CLEANED K2 TRIPLE 3 E 41

TESTEC

E

MJI7

K2 TRIPLE

ЭТАЯТIИ

MJI7 ЭТАЯТIИ ARDA

41

CYL.F TESTEC

ARDA

CYL.F

16254A
AND
BARNUM
UALVE CLEANED K2 TRIPLE 3
CYLE TESTED
16254 A
MJI7 3TARTIM A7ƏA

16254A

AND

BARNUM

UALVE

CLEANED

K2

TRIPLE

3

CYLE

TESTED

16254

A

MJI7

3TARTIM

A7ƏA