Machine Generated Data
Tags
Amazon
created on 2022-03-05
Person | 97.5 | |
| ||
Human | 97.5 | |
| ||
Car | 95.9 | |
| ||
Automobile | 95.9 | |
| ||
Vehicle | 95.9 | |
| ||
Transportation | 95.9 | |
| ||
Person | 95.3 | |
| ||
Person | 89.4 | |
| ||
Person | 85.2 | |
| ||
Tire | 80.3 | |
| ||
Wheel | 77.8 | |
| ||
Machine | 77.8 | |
| ||
Advertisement | 72.5 | |
| ||
Car Wheel | 70.6 | |
| ||
Text | 69.6 | |
| ||
Sports Car | 69.2 | |
| ||
Convertible | 64.3 | |
| ||
Spoke | 62.9 | |
| ||
Poster | 60.9 | |
| ||
Car | 60.8 | |
| ||
Person | 60.5 | |
| ||
People | 56.9 | |
| ||
Alloy Wheel | 56.9 | |
| ||
Person | 43.1 | |
|
Clarifai
created on 2023-10-29
monochrome | 99.9 | |
| ||
people | 99.2 | |
| ||
car | 99.1 | |
| ||
street | 98.6 | |
| ||
vehicle | 97.9 | |
| ||
transportation system | 96.3 | |
| ||
woman | 96.2 | |
| ||
adult | 94.6 | |
| ||
man | 93.5 | |
| ||
no person | 93.5 | |
| ||
city | 90.5 | |
| ||
travel | 90.3 | |
| ||
black and white | 89.2 | |
| ||
many | 87.7 | |
| ||
group | 85.4 | |
| ||
retro | 85.3 | |
| ||
group together | 85.1 | |
| ||
road | 83.5 | |
| ||
square | 82.6 | |
| ||
convertible | 81.1 | |
|
Imagga
created on 2022-03-05
billboard | 29.7 | |
| ||
architecture | 22.9 | |
| ||
structure | 22.7 | |
| ||
office | 22.3 | |
| ||
building | 21.9 | |
| ||
center | 21.7 | |
| ||
signboard | 21.7 | |
| ||
city | 20.8 | |
| ||
business | 20 | |
| ||
motor vehicle | 20 | |
| ||
transportation | 18.8 | |
| ||
travel | 18.3 | |
| ||
modern | 18.2 | |
| ||
golf equipment | 18.1 | |
| ||
road | 17.2 | |
| ||
work | 16.5 | |
| ||
vehicle | 16.3 | |
| ||
equipment | 16 | |
| ||
car | 16 | |
| ||
urban | 15.7 | |
| ||
street | 15.6 | |
| ||
sky | 15.3 | |
| ||
hall | 14.4 | |
| ||
monitor | 14 | |
| ||
people | 13.9 | |
| ||
room | 13.8 | |
| ||
transport | 13.7 | |
| ||
sports equipment | 13.6 | |
| ||
technology | 13.4 | |
| ||
speed | 12.8 | |
| ||
newspaper | 12.5 | |
| ||
wheeled vehicle | 12.5 | |
| ||
automobile | 12.4 | |
| ||
interior | 12.4 | |
| ||
construction | 12 | |
| ||
product | 11.7 | |
| ||
drive | 11.3 | |
| ||
design | 11.3 | |
| ||
glass | 10.9 | |
| ||
man | 10.8 | |
| ||
sign | 10.5 | |
| ||
traffic | 10.4 | |
| ||
fast | 10.3 | |
| ||
window | 10 | |
| ||
light | 10 | |
| ||
night | 9.8 | |
| ||
businessman | 9.7 | |
| ||
destination | 9.4 | |
| ||
creation | 9.3 | |
| ||
working | 8.8 | |
| ||
person | 8.7 | |
| ||
highway | 8.7 | |
| ||
screen | 8.6 | |
| ||
auto | 8.6 | |
| ||
chart | 8.6 | |
| ||
way | 8.5 | |
| ||
blur | 8.4 | |
| ||
hand | 8.4 | |
| ||
tourism | 8.2 | |
| ||
computer | 8.1 | |
| ||
job | 8 | |
| ||
indoors | 7.9 | |
| ||
black | 7.8 | |
| ||
male | 7.8 | |
| ||
luxury | 7.7 | |
| ||
finance | 7.6 | |
| ||
skyline | 7.6 | |
| ||
station | 7.5 | |
| ||
vacation | 7.4 | |
| ||
indoor | 7.3 | |
| ||
success | 7.2 | |
| ||
home | 7.2 | |
| ||
adult | 7.2 | |
| ||
financial | 7.1 | |
| ||
airport | 7 | |
| ||
shop | 7 | |
| ||
engineer | 7 | |
|
Google
created on 2022-03-05
Photograph | 94.2 | |
| ||
Car | 92.3 | |
| ||
Motor vehicle | 91.7 | |
| ||
Vehicle | 90.9 | |
| ||
Tree | 82.2 | |
| ||
Font | 80.1 | |
| ||
Tints and shades | 75.8 | |
| ||
Snapshot | 74.3 | |
| ||
Classic car | 72.3 | |
| ||
Automotive design | 71.5 | |
| ||
Classic | 70.8 | |
| ||
Monochrome photography | 70.3 | |
| ||
Automotive exterior | 67.6 | |
| ||
Personal luxury car | 65.8 | |
| ||
Advertising | 65.7 | |
| ||
Poster | 65.1 | |
| ||
Stock photography | 64.3 | |
| ||
Kit car | 64.1 | |
| ||
Window | 64.1 | |
| ||
Rectangle | 63.9 | |
|
Microsoft
created on 2022-03-05
text | 99.9 | |
| ||
car | 93.1 | |
| ||
vehicle | 92.4 | |
| ||
land vehicle | 89.1 | |
| ||
black and white | 65 | |
| ||
white | 61.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 31-41 |
Gender | Female, 92.5% |
Calm | 43.4% |
Happy | 41.4% |
Sad | 7.2% |
Fear | 4.4% |
Disgusted | 1.5% |
Angry | 1% |
Confused | 0.7% |
Surprised | 0.4% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 95.9% |
Happy | 99.4% |
Surprised | 0.5% |
Calm | 0% |
Angry | 0% |
Fear | 0% |
Sad | 0% |
Disgusted | 0% |
Confused | 0% |

AWS Rekognition
Age | 41-49 |
Gender | Male, 99.7% |
Calm | 68.8% |
Sad | 9.2% |
Fear | 6.7% |
Happy | 6.5% |
Surprised | 3.9% |
Disgusted | 2.5% |
Confused | 1.5% |
Angry | 0.8% |

AWS Rekognition
Age | 23-33 |
Gender | Female, 74% |
Happy | 45.2% |
Calm | 26% |
Sad | 19.6% |
Angry | 3.6% |
Disgusted | 2% |
Fear | 1.9% |
Surprised | 0.8% |
Confused | 0.8% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 83.7% | |
| ||
streetview architecture | 14.2% | |
| ||
paintings art | 1.3% | |
|
Captions
Microsoft
created on 2022-03-05
a vintage photo of a truck | 85.8% | |
| ||
a vintage photo of a person riding on the back of a truck | 56.8% | |
| ||
a vintage photo of a person in a car | 56.7% | |
|
Text analysis
Amazon

WABASH

TENNESSEE

STARTS

TENNESSEE TECH

MINSTER

TECH

KODAK

TAFT

SECOND

ONE

KODAK SAFETY

SAFETY

PRESIDENT

ENT

FILM

for PRESIDENT

for

RTHAGE

F

AK SAFETY FILM

AK

MISSON

WABASH
TAFT
RTHAGE
MINSTER
MISSO
WENT
TEMNESSE ECH
ONE
STARTS
TAFT
for PRESIDENT
AK
S°A FETY
FILM
KODAK
S'A FETY

WABASH

TAFT

RTHAGE

MINSTER

MISSO

WENT

TEMNESSE

ECH

ONE

STARTS

for

PRESIDENT

AK

S°A

FETY

FILM

KODAK

S'A