Machine Generated Data
Tags
Amazon
created on 2022-02-11
Person | 99.4 | |
| ||
Human | 99.4 | |
| ||
Person | 98.6 | |
| ||
Clothing | 93.4 | |
| ||
Apparel | 93.4 | |
| ||
Piano | 91 | |
| ||
Musical Instrument | 91 | |
| ||
Leisure Activities | 91 | |
| ||
Overcoat | 65.7 | |
| ||
Coat | 65.7 | |
| ||
Arcade Game Machine | 61 | |
| ||
Evening Dress | 59.5 | |
| ||
Fashion | 59.5 | |
| ||
Gown | 59.5 | |
| ||
Robe | 59.5 | |
| ||
Xylophone | 55.3 | |
| ||
Glockenspiel | 55.3 | |
| ||
Vibraphone | 55.3 | |
|
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
Google
created on 2022-02-11
Motor vehicle | 91.3 | |
| ||
Automotive design | 88.8 | |
| ||
Hood | 87.5 | |
| ||
Automotive exterior | 84.6 | |
| ||
Automotive lighting | 81.6 | |
| ||
Gas | 78.1 | |
| ||
Cooking | 69.9 | |
| ||
Auto part | 69 | |
| ||
Grilling | 68.5 | |
| ||
Luxury vehicle | 66.2 | |
| ||
Job | 65.1 | |
| ||
Automotive window part | 61.9 | |
| ||
Windshield | 61.8 | |
| ||
Vehicle door | 61.7 | |
| ||
Bumper | 61 | |
| ||
Employment | 60.3 | |
| ||
Sitting | 59.6 | |
| ||
Barbecue grill | 58.8 | |
| ||
Automotive tire | 57.1 | |
| ||
Barbecue | 57.1 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 51-59 |
Gender | Male, 100% |
Sad | 85% |
Calm | 10.7% |
Angry | 1.4% |
Confused | 1.2% |
Fear | 0.6% |
Disgusted | 0.5% |
Happy | 0.3% |
Surprised | 0.3% |

AWS Rekognition
Age | 51-59 |
Gender | Male, 83.1% |
Sad | 98.5% |
Calm | 0.7% |
Fear | 0.3% |
Confused | 0.2% |
Angry | 0.1% |
Disgusted | 0.1% |
Surprised | 0% |
Happy | 0% |

Microsoft Cognitive Services
Age | 52 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
events parties | 99.9% | |
|
Captions
Microsoft
created on 2022-02-11
a group of people sitting at a table | 68.5% | |
| ||
a group of people sitting around a table | 68.4% | |
| ||
a group of men sitting at a table | 68.3% | |
|
Text analysis
Amazon

3

2.7

EITA

MAGOM

2.7 LEIA EITA

LEIA

un

un ROOLWEAVER

ROOLWEAVER

SAPT NOOLNERVER
wwwwwm

SAPT

NOOLNERVER

wwwwwm