Machine Generated Data
Tags
Amazon
created on 2022-01-29
Car | 99.6 | |
| ||
Automobile | 99.6 | |
| ||
Transportation | 99.6 | |
| ||
Vehicle | 99.6 | |
| ||
Road | 99.6 | |
| ||
Car | 99.3 | |
| ||
Wheel | 98.6 | |
| ||
Machine | 98.6 | |
| ||
Person | 98.6 | |
| ||
Human | 98.6 | |
| ||
Bus | 98.3 | |
| ||
Wheel | 97.5 | |
| ||
Intersection | 97.4 | |
| ||
Wheel | 96.6 | |
| ||
Car | 93.8 | |
| ||
Wheel | 93.3 | |
| ||
Car | 93.3 | |
| ||
Person | 92 | |
| ||
Car | 88 | |
| ||
Freeway | 83.3 | |
| ||
Wheel | 79 | |
| ||
Building | 78.3 | |
| ||
Highway | 73.6 | |
| ||
Nature | 72.9 | |
| ||
Tarmac | 69.4 | |
| ||
Asphalt | 69.4 | |
| ||
Person | 66.7 | |
| ||
Urban | 58 | |
|
Clarifai
created on 2023-10-29
vehicle | 99.8 | |
| ||
transportation system | 99.6 | |
| ||
street | 98.7 | |
| ||
no person | 97 | |
| ||
car | 97 | |
| ||
city | 96.8 | |
| ||
watercraft | 96.8 | |
| ||
group | 95.8 | |
| ||
people | 95.8 | |
| ||
many | 95.6 | |
| ||
road | 94.4 | |
| ||
building | 94.3 | |
| ||
town | 94 | |
| ||
travel | 93.5 | |
| ||
aircraft | 92.4 | |
| ||
urban | 92 | |
| ||
monochrome | 91.8 | |
| ||
traffic | 90.5 | |
| ||
architecture | 87.6 | |
| ||
railway | 87.6 | |
|
Imagga
created on 2022-01-29
city | 45.8 | |
| ||
ship | 34.7 | |
| ||
architecture | 28.3 | |
| ||
aircraft carrier | 26.7 | |
| ||
warship | 25.8 | |
| ||
urban | 25.3 | |
| ||
cityscape | 23.7 | |
| ||
building | 22.2 | |
| ||
sky | 21.7 | |
| ||
vessel | 21.1 | |
| ||
buildings | 20.8 | |
| ||
travel | 20.4 | |
| ||
town | 20.4 | |
| ||
military vehicle | 20.2 | |
| ||
intersection | 19.2 | |
| ||
vehicle | 18.3 | |
| ||
water | 18 | |
| ||
tower | 17.9 | |
| ||
river | 17.8 | |
| ||
tourism | 17.3 | |
| ||
aerial | 16.5 | |
| ||
sea | 15 | |
| ||
landscape | 14.9 | |
| ||
street | 14.7 | |
| ||
road | 14.5 | |
| ||
port | 14.4 | |
| ||
landmark | 14.4 | |
| ||
bridge | 14.4 | |
| ||
transportation | 14.3 | |
| ||
skyline | 14.2 | |
| ||
night | 14.2 | |
| ||
boat | 13.5 | |
| ||
harbor | 13.5 | |
| ||
tourist | 12.7 | |
| ||
old | 12.5 | |
| ||
famous | 12.1 | |
| ||
industrial | 11.8 | |
| ||
scene | 11.2 | |
| ||
modern | 11.2 | |
| ||
industry | 11.1 | |
| ||
transport | 11 | |
| ||
structure | 10.4 | |
| ||
business district | 10.4 | |
| ||
skyscraper | 10.1 | |
| ||
pier | 10 | |
| ||
dock | 9.7 | |
| ||
downtown | 9.6 | |
| ||
high | 9.5 | |
| ||
light | 9.4 | |
| ||
device | 9.2 | |
| ||
station | 9.2 | |
| ||
car | 8.9 | |
| ||
technology | 8.9 | |
| ||
airplane | 8.8 | |
| ||
highway | 8.7 | |
| ||
roof | 8.6 | |
| ||
panorama | 8.6 | |
| ||
business | 8.5 | |
| ||
craft | 8.5 | |
| ||
power | 8.4 | |
| ||
ocean | 8.3 | |
| ||
exterior | 8.3 | |
| ||
outdoors | 8.2 | |
| ||
vacation | 8.2 | |
| ||
world | 8 | |
| ||
center | 7.9 | |
| ||
cars | 7.8 | |
| ||
skyscrapers | 7.8 | |
| ||
bay | 7.8 | |
| ||
above | 7.7 | |
| ||
summer | 7.7 | |
| ||
jet | 7.6 | |
| ||
dusk | 7.6 | |
| ||
traffic | 7.6 | |
| ||
airliner | 7.5 | |
| ||
shore | 7.4 | |
| ||
lights | 7.4 | |
| ||
church | 7.4 | |
| ||
truck | 7.4 | |
| ||
new | 7.3 | |
| ||
aircraft | 7.1 | |
|
Google
created on 2022-01-29
Wheel | 96.5 | |
| ||
Car | 95.8 | |
| ||
Vehicle | 92.6 | |
| ||
Tire | 90.7 | |
| ||
Motor vehicle | 89 | |
| ||
Automotive lighting | 87.8 | |
| ||
Line | 82.1 | |
| ||
Building | 77.2 | |
| ||
Monochrome | 72.4 | |
| ||
Electricity | 71.6 | |
| ||
Monochrome photography | 71.6 | |
| ||
Window | 70.5 | |
| ||
Classic car | 67.5 | |
| ||
Kit car | 67.1 | |
| ||
Family car | 65.5 | |
| ||
Classic | 65.3 | |
| ||
City | 64.8 | |
| ||
Road | 63.2 | |
| ||
Stock photography | 62.9 | |
| ||
Font | 62.9 | |
|
Color Analysis
Feature analysis
Categories
Imagga
cars vehicles | 88.4% | |
| ||
paintings art | 3.4% | |
| ||
beaches seaside | 2.6% | |
| ||
interior objects | 1.4% | |
| ||
text visuals | 1.3% | |
| ||
streetview architecture | 1.2% | |
| ||
food drinks | 1% | |
|
Captions
Microsoft
created on 2022-01-29
a vintage photo of a busy city street | 94.4% | |
| ||
a vintage photo of a city street | 94.1% | |
| ||
a vintage photo of a busy street | 92.5% | |
|
Text analysis
Amazon

ZORENSKY

for

BROS

HARPERS

for Wormer

The

UNEST

The She

-

OF

She

SPEC -

Wormer

OF VERE

BYYS

non

SPEC

CROUD

WINCHESTERMINE

VERE

MJI7-- YT3RA°2--XAGO
EARTYNn
NORENSKY

MJI7--

YT3RA°2--XAGO

EARTYNn

NORENSKY