Machine Generated Data
Tags
Amazon
created on 2022-03-19
Wheel | 99.9 | |
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Machine | 99.9 | |
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Person | 99.8 | |
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Human | 99.8 | |
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Wheel | 99.8 | |
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Wheel | 99.6 | |
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Wheel | 99.5 | |
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Motorcycle | 99.3 | |
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Vehicle | 99.3 | |
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Transportation | 99.3 | |
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Wheel | 99.1 | |
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Wheel | 99 | |
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Motorcycle | 97.4 | |
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Person | 97 | |
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Motor | 95 | |
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Person | 95 | |
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Spoke | 94.4 | |
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Person | 89.5 | |
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Person | 86.4 | |
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Motorcycle | 81.2 | |
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Tire | 76.4 | |
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Engine | 76.3 | |
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Alloy Wheel | 73.1 | |
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Clothing | 71 | |
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Apparel | 71 | |
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Officer | 65.1 | |
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Military Uniform | 65.1 | |
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Military | 65.1 | |
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Urban | 64.9 | |
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Building | 59.9 | |
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Rotor | 59.6 | |
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Spiral | 59.6 | |
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Coil | 59.6 | |
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Soldier | 55.2 | |
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Clarifai
created on 2023-10-29
people | 99.8 | |
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group together | 99.3 | |
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vehicle | 99 | |
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man | 98.2 | |
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motorcyclist | 98 | |
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biker | 98 | |
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bike | 97.9 | |
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military | 97.4 | |
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transportation system | 97.1 | |
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group | 97 | |
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soldier | 96.6 | |
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adult | 96.2 | |
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uniform | 94.6 | |
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street | 94.3 | |
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seated | 90.5 | |
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many | 90.4 | |
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police | 89.1 | |
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two | 89 | |
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administration | 86.4 | |
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three | 85.5 | |
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Imagga
created on 2022-03-19
wheeled vehicle | 48.6 | |
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tricycle | 46 | |
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vehicle | 41.3 | |
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wheelchair | 27.3 | |
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man | 26.2 | |
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outdoors | 24 | |
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bicycle | 23.1 | |
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bike | 21.5 | |
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street | 20.2 | |
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wheel | 19.8 | |
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transportation | 18.8 | |
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conveyance | 18.6 | |
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people | 18.4 | |
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male | 17 | |
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city | 16.6 | |
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person | 16.4 | |
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lawn mower | 16.3 | |
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moped | 16.2 | |
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outside | 15.4 | |
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old | 15.3 | |
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motorcycle | 14.6 | |
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chair | 14.5 | |
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sport | 13.8 | |
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transport | 13.7 | |
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cycle | 13.7 | |
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adult | 13.6 | |
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garden tool | 13.1 | |
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minibike | 13 | |
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outdoor | 13 | |
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lifestyle | 12.3 | |
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senior | 12.2 | |
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disabled | 11.8 | |
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tool | 11.8 | |
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road | 11.7 | |
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activity | 11.6 | |
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ride | 11.6 | |
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riding | 10.7 | |
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device | 10.6 | |
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building | 10.3 | |
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seat | 10.2 | |
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active | 10 | |
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equipment | 10 | |
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handicapped | 9.9 | |
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mobility | 9.8 | |
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health | 9.7 | |
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urban | 9.6 | |
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electrical device | 9.4 | |
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industry | 9.4 | |
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architecture | 9.4 | |
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help | 9.3 | |
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travel | 9.2 | |
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park | 9.1 | |
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care | 9.1 | |
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summer | 9 | |
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disability | 8.9 | |
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smiling | 8.7 | |
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day | 8.6 | |
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extreme | 8.6 | |
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men | 8.6 | |
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illness | 8.6 | |
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drive | 8.5 | |
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power | 8.4 | |
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support | 8.3 | |
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speed | 8.2 | |
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exercise | 8.2 | |
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recreation | 8.1 | |
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family | 8 | |
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helmet | 8 | |
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motor scooter | 8 | |
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adults | 7.6 | |
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human | 7.5 | |
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sports | 7.4 | |
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exterior | 7.4 | |
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industrial | 7.3 | |
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to | 7.1 | |
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pump | 7 | |
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sky | 7 | |
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Google
created on 2022-03-19
Wheel | 97.5 | |
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Tire | 96.8 | |
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Automotive tire | 90.9 | |
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Vehicle | 90.6 | |
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Automotive lighting | 89.1 | |
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Motor vehicle | 87.8 | |
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Motorcycle | 86 | |
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Black-and-white | 84.1 | |
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Style | 83.8 | |
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Automotive design | 83.2 | |
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Building | 82.7 | |
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Fender | 80.9 | |
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Rim | 80.3 | |
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Tree | 75.5 | |
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Headlamp | 74.7 | |
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Automotive wheel system | 71.8 | |
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Monochrome photography | 71.7 | |
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Auto part | 70.6 | |
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Classic | 69.9 | |
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Spoke | 68.2 | |
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Microsoft
created on 2022-03-19
outdoor | 97.7 | |
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wheel | 90 | |
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land vehicle | 89.4 | |
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text | 88.8 | |
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black and white | 84.9 | |
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person | 84.6 | |
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vehicle | 82.9 | |
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tire | 77.4 | |
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man | 74.3 | |
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clothing | 66.9 | |
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motorcycle | 56.3 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 51-59 |
Gender | Male, 100% |
Calm | 81% |
Happy | 8.6% |
Confused | 5% |
Sad | 2% |
Angry | 1.9% |
Disgusted | 0.7% |
Surprised | 0.4% |
Fear | 0.2% |

AWS Rekognition
Age | 45-53 |
Gender | Male, 99.9% |
Calm | 99.7% |
Confused | 0.1% |
Sad | 0% |
Happy | 0% |
Disgusted | 0% |
Angry | 0% |
Surprised | 0% |
Fear | 0% |

AWS Rekognition
Age | 25-35 |
Gender | Male, 100% |
Calm | 99.7% |
Happy | 0.1% |
Surprised | 0.1% |
Sad | 0% |
Angry | 0% |
Confused | 0% |
Disgusted | 0% |
Fear | 0% |

AWS Rekognition
Age | 29-39 |
Gender | Male, 100% |
Calm | 85.3% |
Happy | 7.8% |
Confused | 2.8% |
Surprised | 2.4% |
Angry | 0.8% |
Disgusted | 0.5% |
Sad | 0.3% |
Fear | 0.1% |

AWS Rekognition
Age | 33-41 |
Gender | Male, 99.9% |
Confused | 60.7% |
Calm | 17.4% |
Surprised | 13.1% |
Angry | 5% |
Disgusted | 1.5% |
Happy | 1.1% |
Sad | 0.8% |
Fear | 0.4% |

Microsoft Cognitive Services
Age | 49 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Amazon
Wheel
Person
Motorcycle

Wheel | 99.9% | |
|

Wheel | 99.8% | |
|

Wheel | 99.6% | |
|

Wheel | 99.5% | |
|

Wheel | 99.1% | |
|

Wheel | 99% | |
|

Person | 99.8% | |
|

Person | 97% | |
|

Person | 95% | |
|

Person | 89.5% | |
|

Person | 86.4% | |
|

Motorcycle | 99.3% | |
|

Motorcycle | 97.4% | |
|

Motorcycle | 81.2% | |
|
Categories
Imagga
paintings art | 97% | |
| ||
interior objects | 2% | |
|
Captions
Microsoft
created on 2022-03-19
a man riding a motorcycle in front of a building | 63.1% | |
| ||
a man riding a motorcycle posing for a photo | 54.9% | |
| ||
a man riding on the back of a motorcycle | 52.3% | |
|
Text analysis
Amazon

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