Machine Generated Data
Tags
Amazon
created on 2022-02-05
Person | 98.2 | |
| ||
Human | 98.2 | |
| ||
Person | 97.1 | |
| ||
Wheel | 96.7 | |
| ||
Machine | 96.7 | |
| ||
Vehicle | 95.1 | |
| ||
Transportation | 95.1 | |
| ||
Person | 94.9 | |
| ||
Tarmac | 94.9 | |
| ||
Asphalt | 94.9 | |
| ||
Wheel | 92.4 | |
| ||
Person | 91.9 | |
| ||
Automobile | 89.6 | |
| ||
Person | 88.9 | |
| ||
Person | 86.7 | |
| ||
Wheel | 85.9 | |
| ||
Sports Car | 84.8 | |
| ||
Person | 84.5 | |
| ||
Wheel | 84.4 | |
| ||
Car | 80.3 | |
| ||
Car | 77.7 | |
| ||
Race Car | 72.2 | |
| ||
Person | 72.1 | |
| ||
Person | 70.1 | |
| ||
Tire | 66.8 | |
| ||
Person | 63.4 | |
| ||
Truck | 62.7 | |
| ||
Fire Truck | 58.1 | |
| ||
Trailer Truck | 56.5 | |
|
Clarifai
created on 2023-10-29
vehicle | 99.4 | |
| ||
people | 98.5 | |
| ||
monochrome | 98 | |
| ||
transportation system | 98 | |
| ||
many | 96.4 | |
| ||
group | 94 | |
| ||
group together | 92.9 | |
| ||
adult | 91.8 | |
| ||
aircraft | 88.5 | |
| ||
no person | 85.7 | |
| ||
street | 84.6 | |
| ||
military | 82.7 | |
| ||
war | 81.5 | |
| ||
watercraft | 81.3 | |
| ||
man | 78.3 | |
| ||
truck | 78.2 | |
| ||
several | 74.5 | |
| ||
wear | 71.2 | |
| ||
administration | 69 | |
| ||
city | 68 | |
|
Imagga
created on 2022-02-05
Google
created on 2022-02-05
Wheel | 96.3 | |
| ||
Tire | 93 | |
| ||
Black | 89.6 | |
| ||
Motor vehicle | 88 | |
| ||
Building | 87.7 | |
| ||
Vehicle | 85.1 | |
| ||
Window | 84.8 | |
| ||
Automotive tire | 83.5 | |
| ||
Black-and-white | 82.5 | |
| ||
Car | 81.8 | |
| ||
Font | 81.1 | |
| ||
Rectangle | 80.1 | |
| ||
Monochrome photography | 71 | |
| ||
Monochrome | 70.8 | |
| ||
House | 66.3 | |
| ||
Room | 65.9 | |
| ||
Machine | 65.5 | |
| ||
Automotive wheel system | 64.4 | |
| ||
Kit car | 64.3 | |
| ||
Facade | 62.5 | |
|
Microsoft
created on 2022-02-05
text | 99.8 | |
| ||
road | 95.4 | |
| ||
vehicle | 94.4 | |
| ||
land vehicle | 88.7 | |
| ||
house | 84.1 | |
| ||
black and white | 79.5 | |
| ||
car | 74.6 | |
| ||
sky | 74 | |
| ||
wheel | 71.6 | |
| ||
building | 63.8 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Female, 55.5% |
Fear | 76% |
Calm | 15.5% |
Sad | 2.6% |
Disgusted | 2.1% |
Angry | 1.4% |
Happy | 1.1% |
Confused | 0.8% |
Surprised | 0.5% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 98.5% |
Sad | 48.5% |
Calm | 33.7% |
Happy | 11.6% |
Angry | 2.5% |
Disgusted | 1.6% |
Fear | 0.7% |
Confused | 0.7% |
Surprised | 0.7% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 90.1% |
Calm | 46.7% |
Sad | 26.1% |
Angry | 10.2% |
Surprised | 5.2% |
Happy | 4.9% |
Fear | 2.5% |
Confused | 2.4% |
Disgusted | 2% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 56.8% |
Happy | 44.8% |
Calm | 40.4% |
Angry | 5.4% |
Fear | 2.5% |
Disgusted | 2.1% |
Surprised | 2.1% |
Sad | 2% |
Confused | 0.7% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 81% |
Calm | 76.9% |
Sad | 7.1% |
Angry | 6% |
Happy | 4.4% |
Disgusted | 2.1% |
Fear | 1.9% |
Surprised | 0.8% |
Confused | 0.7% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 98.5% |
Happy | 64.9% |
Calm | 11.9% |
Surprised | 8.8% |
Sad | 4.4% |
Angry | 4.1% |
Disgusted | 2.3% |
Fear | 1.9% |
Confused | 1.8% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 90.6% |
Calm | 96.8% |
Fear | 1.4% |
Disgusted | 0.7% |
Happy | 0.4% |
Sad | 0.3% |
Surprised | 0.1% |
Angry | 0.1% |
Confused | 0.1% |

AWS Rekognition
Age | 20-28 |
Gender | Female, 59.2% |
Calm | 96.1% |
Angry | 1.1% |
Surprised | 0.9% |
Sad | 0.6% |
Disgusted | 0.6% |
Happy | 0.4% |
Confused | 0.2% |
Fear | 0.1% |
Feature analysis
Categories
Imagga
cars vehicles | 99.3% | |
|
Captions
Microsoft
created by unknown on 2022-02-05
a vintage photo of a store | 74.5% | |
| ||
a vintage photo of a parking lot | 64.7% | |
| ||
a vintage photo of a building | 64.6% | |
|
Text analysis
Amazon

HERN

NORTHERN

RUSH

HERN MAINE

EXPRESS

NSFER

10

BOSTON

BOSTON - NORTHERN MAINE

MAINE

MOTORS

-

DAILY

DAILY SERVICE

O'DONNELL'S

BOSTON-NORTHERN

SERVICE

EXP

O'DONNELL'S EXPRESS

ODONNELL'S EXP

ODONNELL'S

CO

ENSTERN

BOSTON NORTHERN ME

ME

are COONNELLS Y ENSTERN MOTORS V

DONT NARY

V

АЗДА

COONNELLS

MJ11Y13RA2 АЗДА

CANELES

are

MJ11Y13RA2

Y

HOUSTON NG

must

ODONNELLS EXPRESS
BOSTON-NORTHERN MAINE
S EXP
NSFER CO.
HERN MAINE
ODONNELL'S
ODONNELL'S EXPRESS
BOSTON NORTHERN ME
BOSTON ANORTHERN MAINE
INCOL TR 0ONNELLS EANTIRN MOTOR INC
BOSTON

ODONNELLS

EXPRESS

BOSTON-NORTHERN

MAINE

S

EXP

NSFER

CO.

HERN

ODONNELL'S

BOSTON

NORTHERN

ME

ANORTHERN

INCOL

TR

0ONNELLS

EANTIRN

MOTOR

INC