Machine Generated Data
Tags
Amazon
created on 2022-03-19
Person | 99.8 | |
| ||
Human | 99.8 | |
| ||
Person | 99.4 | |
| ||
Vehicle | 90.8 | |
| ||
Transportation | 90.8 | |
| ||
Hat | 89.1 | |
| ||
Clothing | 89.1 | |
| ||
Apparel | 89.1 | |
| ||
Bicycle | 83.2 | |
| ||
Bike | 83.2 | |
| ||
Machine | 79.4 | |
| ||
Motorcycle | 78.4 | |
| ||
Motor | 64.3 | |
| ||
Motor Scooter | 62.3 | |
| ||
Vespa | 62.3 | |
| ||
Tie | 57.6 | |
| ||
Accessories | 57.6 | |
| ||
Accessory | 57.6 | |
| ||
Officer | 56.8 | |
| ||
Military | 56.8 | |
| ||
Military Uniform | 56.8 | |
| ||
Person | 51.1 | |
|
Clarifai
created on 2023-10-28
people | 99.8 | |
| ||
monochrome | 98.8 | |
| ||
vehicle | 98.6 | |
| ||
man | 98.6 | |
| ||
adult | 98.6 | |
| ||
transportation system | 98.6 | |
| ||
two | 98.4 | |
| ||
three | 97.2 | |
| ||
group together | 96.3 | |
| ||
seated | 95.6 | |
| ||
group | 95.2 | |
| ||
street | 94.8 | |
| ||
biker | 94.6 | |
| ||
veil | 92 | |
| ||
four | 91.4 | |
| ||
woman | 91 | |
| ||
administration | 90.4 | |
| ||
wear | 88.6 | |
| ||
bike | 88.4 | |
| ||
several | 87.8 | |
|
Imagga
created on 2022-03-19
Google
created on 2022-03-19
Shirt | 94.8 | |
| ||
Tire | 92.6 | |
| ||
Wheel | 91.5 | |
| ||
Automotive lighting | 91.2 | |
| ||
Hat | 90.2 | |
| ||
Vehicle | 89.5 | |
| ||
Motor vehicle | 86.5 | |
| ||
Automotive tire | 85.1 | |
| ||
Black-and-white | 84.6 | |
| ||
Automotive design | 84.3 | |
| ||
Style | 83.8 | |
| ||
Fedora | 76.7 | |
| ||
Headlamp | 76.5 | |
| ||
Monochrome photography | 73.8 | |
| ||
Motorcycle | 73.6 | |
| ||
Monochrome | 73.3 | |
| ||
Classic | 72.3 | |
| ||
Rim | 71.1 | |
| ||
Personal protective equipment | 69.7 | |
| ||
Service | 69.3 | |
|
Microsoft
created on 2022-03-19
person | 99.7 | |
| ||
text | 99.5 | |
| ||
man | 93.1 | |
| ||
wheel | 91.9 | |
| ||
land vehicle | 87.8 | |
| ||
tire | 87.7 | |
| ||
clothing | 78.2 | |
| ||
vehicle | 76.4 | |
| ||
black and white | 73.4 | |
| ||
motorcycle | 66.9 | |
| ||
posing | 59.3 | |
| ||
bicycle | 57 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 47-53 |
Gender | Male, 94.4% |
Happy | 95.5% |
Calm | 1.5% |
Disgusted | 0.9% |
Sad | 0.7% |
Confused | 0.6% |
Angry | 0.4% |
Surprised | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 100% |
Calm | 95.8% |
Angry | 1.3% |
Sad | 1.2% |
Confused | 0.5% |
Happy | 0.4% |
Disgusted | 0.4% |
Surprised | 0.3% |
Fear | 0.1% |

Microsoft Cognitive Services
Age | 58 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 99% | |
|
Captions
Microsoft
created on 2022-03-19
a group of people posing for a photo | 93.1% | |
| ||
a group of people posing for the camera | 93% | |
| ||
a group of people posing for a photo in front of a window | 88.2% | |
|
Text analysis
Amazon

POLICE

SUPPLIES

521

E OFTERS

the

Sale

521
ERSTERS
CaSa
POLICE
SUPPLIES

521

ERSTERS

CaSa

POLICE

SUPPLIES