Machine Generated Data
Tags
Amazon
created on 2022-02-05
Clarifai
created on 2023-10-29
Imagga
created on 2022-02-05
tricycle | 60.6 | |
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wheeled vehicle | 50.9 | |
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vehicle | 44.5 | |
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conveyance | 24.9 | |
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people | 18.4 | |
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sport | 17.5 | |
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newspaper | 16.6 | |
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person | 16.4 | |
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male | 16.3 | |
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man | 16.1 | |
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silhouette | 15.7 | |
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wheel | 15.3 | |
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speed | 14.6 | |
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chair | 14.6 | |
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outdoors | 14.2 | |
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bike | 13.7 | |
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fun | 13.5 | |
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transportation | 13.4 | |
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wheelchair | 13.4 | |
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product | 13 | |
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adult | 12.9 | |
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fitness | 12.6 | |
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sunset | 12.6 | |
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exercise | 11.8 | |
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bicycle | 11.7 | |
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lifestyle | 11.6 | |
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sky | 11.5 | |
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outdoor | 11.5 | |
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boy | 11.3 | |
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technology | 11.1 | |
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outside | 11.1 | |
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transport | 10.9 | |
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pedestrian | 10.9 | |
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3d | 10.8 | |
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recreation | 10.7 | |
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creation | 10.7 | |
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ride | 10.7 | |
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summer | 10.3 | |
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motion | 10.3 | |
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activity | 9.8 | |
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cycle | 9.8 | |
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human | 9.7 | |
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background | 9.7 | |
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black | 9.6 | |
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render | 9.5 | |
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leisure | 9.1 | |
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health | 9 | |
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active | 9 | |
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biker | 8.9 | |
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cycling | 8.8 | |
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carriage | 8.6 | |
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extreme | 8.6 | |
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race | 8.6 | |
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men | 8.6 | |
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automaton | 8.5 | |
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three dimensional | 8.4 | |
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car | 8.4 | |
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screen | 8.3 | |
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digital | 8.1 | |
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graphics | 8 | |
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mountain | 8 | |
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seat | 7.9 | |
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play | 7.7 | |
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effects | 7.6 | |
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field | 7.5 | |
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sunrise | 7.5 | |
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city | 7.5 | |
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sun | 7.2 | |
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device | 7.2 | |
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road | 7.2 | |
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computer | 7.2 | |
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family | 7.1 | |
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day | 7.1 | |
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Google
created on 2022-02-05
Wheel | 97.1 | |
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Tire | 97 | |
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Motor vehicle | 90.2 | |
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Automotive tire | 88.9 | |
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Automotive design | 86.4 | |
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Vehicle | 83.5 | |
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Rolling | 80.7 | |
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Fender | 80.2 | |
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Classic | 75.1 | |
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Automotive wheel system | 71.1 | |
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Rim | 69.3 | |
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Machine | 67.6 | |
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Vintage clothing | 66.3 | |
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Flash photography | 65.7 | |
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Auto part | 65.6 | |
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Monochrome photography | 64.3 | |
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Scooter | 63.2 | |
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Advertising | 62.7 | |
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Automotive lighting | 62.6 | |
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Sitting | 60.4 | |
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Microsoft
created on 2022-02-05
text | 99.9 | |
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wheel | 81.4 | |
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black and white | 61.5 | |
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posing | 57 | |
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old | 47.3 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Male, 99.4% |
Calm | 73.2% |
Surprised | 8.4% |
Happy | 6.8% |
Angry | 5.5% |
Confused | 2.5% |
Sad | 1.3% |
Fear | 1.2% |
Disgusted | 1.1% |

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
paintings art | 25.5% | |
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text visuals | 24.2% | |
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streetview architecture | 20% | |
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events parties | 15.8% | |
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interior objects | 10.6% | |
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food drinks | 2.4% | |
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people portraits | 1.1% | |
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Captions
Microsoft
created on 2022-02-05
a vintage photo of a group of people posing for the camera | 78.7% | |
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a vintage photo of a group of people posing for a picture | 78.6% | |
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a vintage photo of a person | 78.5% | |
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Text analysis
Amazon

KODAK

SAFETY

KODAK SAFETY FILM

FILM

KODAK
S'AFETY FILM
КODAK

KODAK

S'AFETY

FILM

КODAK