Machine Generated Data
Tags
Amazon
created on 2022-01-30
Clarifai
created on 2023-10-28
Imagga
created on 2022-01-30
person | 27.2 | |
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man | 22.2 | |
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planner | 20.9 | |
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people | 18.9 | |
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helmet | 17.7 | |
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football helmet | 16.1 | |
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astronaut | 15.7 | |
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sport | 15 | |
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adult | 14.9 | |
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lifestyle | 14.4 | |
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newspaper | 13.7 | |
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male | 13.5 | |
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body | 12.8 | |
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black | 12.6 | |
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equipment | 12.5 | |
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active | 12.4 | |
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sky | 11.5 | |
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fun | 11.2 | |
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product | 10.8 | |
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fashion | 10.5 | |
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style | 10.4 | |
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headdress | 10.2 | |
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clothing | 10.2 | |
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model | 10.1 | |
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dark | 9.2 | |
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modern | 9.1 | |
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exercise | 9.1 | |
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outdoors | 8.9 | |
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device | 8.8 | |
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creation | 8.7 | |
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motion | 8.6 | |
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portrait | 8.4 | |
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automaton | 8.3 | |
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transport | 8.2 | |
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activity | 8.1 | |
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play | 7.8 | |
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travel | 7.7 | |
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men | 7.7 | |
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attractive | 7.7 | |
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jump | 7.7 | |
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vehicle | 7.7 | |
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outdoor | 7.6 | |
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costume | 7.6 | |
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power | 7.6 | |
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one | 7.5 | |
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art | 7.4 | |
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action | 7.4 | |
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water | 7.3 | |
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celebration | 7.2 | |
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transportation | 7.2 | |
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summer | 7.1 | |
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conceptual | 7 | |
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Google
created on 2022-01-30
Wheel | 95.5 | |
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Tire | 95.4 | |
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Car | 93.7 | |
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Vehicle | 93.2 | |
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Motor vehicle | 92 | |
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Automotive tire | 87.7 | |
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Automotive lighting | 82 | |
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Fender | 80.6 | |
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Automotive design | 80.1 | |
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Motorcycle | 78.7 | |
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Classic | 76.5 | |
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Vintage clothing | 72.9 | |
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Hat | 70.3 | |
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Monochrome | 69.5 | |
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Vehicle door | 69.4 | |
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Monochrome photography | 68.4 | |
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Stock photography | 66.8 | |
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Family car | 66.7 | |
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Automotive exterior | 66.5 | |
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Rim | 66.2 | |
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Microsoft
created on 2022-01-30
text | 99.4 | |
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land vehicle | 98.9 | |
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wheel | 98.4 | |
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vehicle | 97.7 | |
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outdoor | 97.1 | |
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tire | 92.4 | |
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car | 84.5 | |
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motorcycle | 77.8 | |
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auto part | 73.9 | |
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black and white | 67.3 | |
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old | 56.7 | |
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person | 55.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 43-51 |
Gender | Female, 90.4% |
Happy | 44.1% |
Calm | 32.3% |
Sad | 17.3% |
Angry | 2.2% |
Surprised | 2.1% |
Disgusted | 1% |
Confused | 0.5% |
Fear | 0.5% |

AWS Rekognition
Age | 36-44 |
Gender | Female, 96.2% |
Calm | 95% |
Happy | 4.5% |
Angry | 0.2% |
Disgusted | 0.1% |
Surprised | 0.1% |
Sad | 0.1% |
Confused | 0.1% |
Fear | 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 |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Unlikely |
Feature analysis
Categories
Imagga
paintings art | 74.3% | |
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interior objects | 11.7% | |
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people portraits | 6.7% | |
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food drinks | 3.4% | |
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streetview architecture | 1.6% | |
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events parties | 1.5% | |
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Captions
Microsoft
created on 2022-01-30
a vintage photo of a group of people posing for the camera | 84.8% | |
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a vintage photo of a group of people posing for a picture | 84.7% | |
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a vintage photo of a man | 84.6% | |
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Text analysis
Amazon

YT37A2-XAOOX

YT3FA2-XAGO

YT3FA2-XAGO