Machine Generated Data
Tags
Amazon
created on 2022-02-11
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-11
cockpit | 36.4 | |
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man | 30.9 | |
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people | 28.4 | |
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adult | 24.6 | |
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car | 24.3 | |
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work | 22.7 | |
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person | 22.7 | |
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seat | 21.8 | |
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vehicle | 21.8 | |
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male | 20.6 | |
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sitting | 19.7 | |
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transportation | 19.7 | |
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support | 19.6 | |
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automobile | 19.1 | |
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worker | 17.8 | |
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equipment | 17.5 | |
| ||
device | 16.6 | |
| ||
working | 15.9 | |
| ||
technology | 15.6 | |
| ||
repair | 15.3 | |
| ||
auto | 14.3 | |
| ||
business | 14 | |
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driver | 13.6 | |
| ||
computer | 13.3 | |
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men | 12 | |
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transport | 11.9 | |
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stretcher | 11.8 | |
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engineer | 11.5 | |
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safety | 11 | |
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inside | 11 | |
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repairing | 10.8 | |
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technician | 10.8 | |
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smile | 10.7 | |
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happy | 10.6 | |
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engine | 10.6 | |
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travel | 10.6 | |
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professional | 10.2 | |
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outdoors | 9.7 | |
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passenger | 9.5 | |
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smiling | 9.4 | |
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two | 9.3 | |
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occupation | 9.2 | |
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holding | 9.1 | |
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color | 8.9 | |
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interior | 8.8 | |
| ||
litter | 8.8 | |
| ||
drive | 8.8 | |
| ||
broken | 8.7 | |
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emergency | 8.7 | |
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conveyance | 8.7 | |
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problem | 8.7 | |
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machine | 8.5 | |
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telephone | 8.5 | |
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television camera | 8.4 | |
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portrait | 8.4 | |
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attractive | 8.4 | |
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help | 8.4 | |
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phone | 8.3 | |
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new | 8.1 | |
| ||
lifestyle | 7.9 | |
| ||
boy | 7.8 | |
| ||
mechanic | 7.8 | |
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driving | 7.7 | |
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angle | 7.7 | |
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shop | 7.6 | |
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talking | 7.6 | |
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communication | 7.6 | |
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wheel | 7.5 | |
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leisure | 7.5 | |
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electronic | 7.5 | |
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service | 7.4 | |
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funny | 7.3 | |
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20s | 7.3 | |
| ||
job | 7.1 | |
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day | 7.1 | |
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electronic equipment | 7 | |
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modern | 7 | |
|
Google
created on 2022-02-11
Product | 90.7 | |
| ||
Automotive design | 83.2 | |
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Rectangle | 79.5 | |
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Table | 79.4 | |
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Motor vehicle | 78.4 | |
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Chair | 77.6 | |
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Technology | 75.6 | |
| ||
Event | 71.2 | |
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Recreation | 70.4 | |
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Automotive tire | 70.2 | |
| ||
Room | 66.8 | |
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Air travel | 66.7 | |
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Luxury vehicle | 61.8 | |
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Font | 61.4 | |
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Sitting | 60.8 | |
| ||
Leisure | 56.9 | |
| ||
Suit | 56.5 | |
| ||
Aerospace engineering | 55.2 | |
| ||
Bag | 54.5 | |
| ||
Automotive exterior | 51.5 | |
|
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 38-46 |
Gender | Male, 100% |
Calm | 96.4% |
Confused | 2.1% |
Angry | 1% |
Disgusted | 0.2% |
Surprised | 0.1% |
Sad | 0.1% |
Fear | 0.1% |
Happy | 0.1% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 100% |
Calm | 96.9% |
Angry | 0.8% |
Disgusted | 0.7% |
Sad | 0.5% |
Surprised | 0.4% |
Confused | 0.4% |
Happy | 0.2% |
Fear | 0.1% |

Microsoft Cognitive Services
Age | 46 |
Gender | Male |

Microsoft Cognitive Services
Age | 44 |
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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
people portraits | 46.9% | |
| ||
food drinks | 19.3% | |
| ||
events parties | 13.6% | |
| ||
interior objects | 11% | |
| ||
paintings art | 6.9% | |
|
Captions
Microsoft
created by unknown on 2022-02-11
a group of people sitting in chairs | 89.1% | |
| ||
a group of people sitting in a chair | 86.2% | |
| ||
a group of people in a room | 86.1% | |
|
Text analysis
Amazon

4

KODYK

с

LA

KODYK E1A EIRN

E1A

LA EIRW

EIRW

EIRN

MJI7 YT37 A2 XAGOX
MJIF YTE

MJI7

YT37

A2

XAGOX

MJIF

YTE