Machine Generated Data
Tags
Amazon
created on 2022-01-29
Clarifai
created on 2023-10-27
people | 99.7 | |
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vehicle | 97.8 | |
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adult | 97.7 | |
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transportation system | 95.7 | |
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man | 95.3 | |
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two | 92.9 | |
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watercraft | 92.5 | |
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wear | 92.2 | |
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monochrome | 90.5 | |
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three | 89.7 | |
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group together | 89.7 | |
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outfit | 89.5 | |
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administration | 88.7 | |
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woman | 86.7 | |
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group | 83 | |
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veil | 80.9 | |
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nostalgia | 76.7 | |
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aircraft | 76.4 | |
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facial expression | 76 | |
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one | 75.9 | |
|
Imagga
created on 2022-01-29
radio | 31.5 | |
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vacuum | 23.9 | |
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device | 21.6 | |
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equipment | 20.9 | |
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communication system | 19.7 | |
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interior | 17.7 | |
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home appliance | 16.6 | |
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appliance | 14.9 | |
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home | 14.3 | |
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clean | 13.3 | |
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microphone | 12.7 | |
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water | 12.7 | |
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bathroom | 11.9 | |
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house | 11.7 | |
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old | 11.1 | |
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adult | 11 | |
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machine | 10.8 | |
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pump | 10.7 | |
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wash | 10.6 | |
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person | 10.5 | |
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modern | 10.5 | |
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sink | 9.9 | |
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hand | 9.9 | |
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kitchen | 9.8 | |
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medical | 9.7 | |
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technology | 9.6 | |
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wall | 9.4 | |
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working | 8.8 | |
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indoors | 8.8 | |
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building | 8.7 | |
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chemical | 8.7 | |
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shower | 8.7 | |
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exercise bike | 8.6 | |
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cleaner | 8.6 | |
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industry | 8.5 | |
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energy | 8.4 | |
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floor | 8.4 | |
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human | 8.2 | |
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one | 8.2 | |
| ||
room | 7.9 | |
| ||
urban | 7.9 | |
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face | 7.8 | |
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people | 7.8 | |
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health | 7.6 | |
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bath | 7.6 | |
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power | 7.5 | |
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retro | 7.4 | |
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antique | 7.3 | |
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indoor | 7.3 | |
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male | 7.1 | |
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medicine | 7 | |
|
Google
created on 2022-01-29
Dress | 87.2 | |
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Motor vehicle | 86.5 | |
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Automotive design | 80 | |
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Automotive lighting | 78.9 | |
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Machine | 73 | |
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Service | 72.3 | |
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Vintage clothing | 71.5 | |
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Classic car | 71 | |
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Building | 70.1 | |
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Classic | 69.6 | |
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Hat | 67.2 | |
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Monochrome | 65.8 | |
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Health care provider | 62.6 | |
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Medical | 59.1 | |
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Vintage car | 59.1 | |
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Laboratory equipment | 58.1 | |
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History | 57.5 | |
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Health care | 57.2 | |
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Car | 56.4 | |
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Luxury vehicle | 56.3 | |
|
Microsoft
created on 2022-01-29
text | 99.3 | |
| ||
black and white | 77.7 | |
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clothing | 72.4 | |
| ||
person | 68.9 | |
|
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 40-48 |
Gender | Male, 99.4% |
Calm | 98.3% |
Surprised | 0.8% |
Sad | 0.3% |
Happy | 0.2% |
Angry | 0.2% |
Disgusted | 0.1% |
Confused | 0.1% |
Fear | 0% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 87.4% |
Surprised | 97% |
Calm | 1.4% |
Happy | 1.3% |
Fear | 0.2% |
Disgusted | 0% |
Angry | 0% |
Confused | 0% |
Sad | 0% |

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
interior objects | 99.5% | |
|
Captions
Microsoft
created on 2022-01-29
a person standing in front of a store | 48.9% | |
| ||
a person standing in front of a store | 48.8% | |
| ||
a person standing in front of a building | 48.7% | |
|
Text analysis
Amazon

1745

QUEEN

REMINGTON

MJI7

WITH QUEEN

MJI7 YT33AS 002ИА

YT33AS

002ИА

WITH

MJI7 YT3RA
REMINGTON
1745
LTER QUEE

MJI7

YT3RA

REMINGTON

1745

LTER

QUEE