Machine Generated Data
Tags
Amazon
created on 2022-03-19
Wheel | 99.9 | |
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Machine | 99.9 | |
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Bicycle | 99.9 | |
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Bike | 99.9 | |
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Vehicle | 99.9 | |
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Transportation | 99.9 | |
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Person | 99.8 | |
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Human | 99.8 | |
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Person | 99.7 | |
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Person | 99.3 | |
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Wheel | 98.9 | |
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Wheel | 96.7 | |
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Car | 94.1 | |
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Automobile | 94.1 | |
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Person | 92.7 | |
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Person | 89.7 | |
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Person | 85.6 | |
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Person | 85.3 | |
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Shoe | 83 | |
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Footwear | 83 | |
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Clothing | 83 | |
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Apparel | 83 | |
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Cyclist | 74.5 | |
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Sport | 74.5 | |
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Sports | 74.5 | |
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Tricycle | 65.7 | |
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Spoke | 61.7 | |
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Girl | 60.8 | |
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Female | 60.8 | |
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Clarifai
created on 2025-01-10
Imagga
created on 2022-03-19
tricycle | 100 | |
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wheeled vehicle | 100 | |
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vehicle | 100 | |
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bicycle | 69.2 | |
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conveyance | 67.7 | |
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bike | 55.7 | |
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wheel | 39.7 | |
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transport | 32 | |
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ride | 31.1 | |
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transportation | 29.6 | |
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cycle | 28.4 | |
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old | 27.2 | |
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cycling | 25.6 | |
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sport | 22.3 | |
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riding | 21.5 | |
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pedal | 20.8 | |
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wheelchair | 20.7 | |
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street | 19.4 | |
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man | 17.5 | |
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jinrikisha | 16.8 | |
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road | 16.3 | |
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seat | 16.3 | |
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cart | 16.2 | |
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health | 15.3 | |
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people | 15.1 | |
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city | 15 | |
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outdoors | 14.2 | |
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travel | 14.1 | |
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tire | 13.7 | |
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exercise | 13.6 | |
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retro | 13.1 | |
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outside | 12.9 | |
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active | 12.6 | |
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recreation | 12.6 | |
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vintage | 12.4 | |
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chair | 11.9 | |
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biking | 11.8 | |
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disabled | 11.8 | |
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person | 11.8 | |
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aged | 11.8 | |
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fitness | 11.8 | |
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lifestyle | 11.6 | |
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carriage | 11.1 | |
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wagon | 11 | |
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wheels | 10.8 | |
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outdoor | 10.7 | |
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park | 10.7 | |
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care | 10.7 | |
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urban | 10.5 | |
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antique | 10.4 | |
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senior | 10.3 | |
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cyclist | 9.9 | |
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activity | 9.9 | |
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mountain | 9.8 | |
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summer | 9.7 | |
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helmet | 9.6 | |
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hospital | 9.4 | |
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adult | 9.1 | |
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black | 9 | |
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vacation | 9 | |
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support | 9 | |
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disability | 8.9 | |
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to | 8.9 | |
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sick | 8.7 | |
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help | 8.4 | |
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speed | 8.2 | |
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medical | 8 | |
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invalid | 7.9 | |
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handicapped | 7.9 | |
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tour | 7.7 | |
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men | 7.7 | |
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motion | 7.7 | |
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sky | 7.7 | |
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illness | 7.6 | |
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traffic | 7.6 | |
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fun | 7.5 | |
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color | 7.2 | |
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male | 7.1 | |
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sea | 7 | |
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bicycle-built-for-two | 7 | |
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Google
created on 2022-03-19
Wheel | 98.3 | |
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Tire | 97.6 | |
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Bicycle | 96.6 | |
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Bicycle wheel rim | 93.3 | |
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Bicycle tire | 93 | |
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Motor vehicle | 92.6 | |
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Vehicle | 89.1 | |
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Automotive tire | 87.5 | |
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Bicycle frame | 86.6 | |
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Mode of transport | 85.9 | |
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Bicycle handlebar | 85.7 | |
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Bicycle accessory | 85.6 | |
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Bicycle fork | 85.2 | |
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Style | 84 | |
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Black-and-white | 83.8 | |
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Bicycle part | 81.5 | |
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Building | 78.5 | |
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Automotive wheel system | 78.5 | |
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Vintage clothing | 77.2 | |
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Cycling | 75.7 | |
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Microsoft
created on 2022-03-19
outdoor | 99.9 | |
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building | 99.8 | |
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bicycle | 99.7 | |
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bicycle wheel | 95.3 | |
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wheel | 94 | |
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land vehicle | 92.3 | |
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bike | 88.2 | |
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vehicle | 87.5 | |
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black and white | 77 | |
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black | 67.6 | |
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street | 64.1 | |
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posing | 62.4 | |
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text | 60.3 | |
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tire | 59 | |
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old | 58.8 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 13-21 |
Gender | Male, 99.9% |
Disgusted | 50.5% |
Sad | 23% |
Angry | 15.3% |
Confused | 4% |
Calm | 3.1% |
Fear | 1.7% |
Surprised | 1.5% |
Happy | 0.9% |

AWS Rekognition
Age | 13-21 |
Gender | Female, 99.8% |
Happy | 75.8% |
Confused | 7.7% |
Calm | 4.9% |
Surprised | 3% |
Fear | 2.9% |
Disgusted | 2.9% |
Sad | 1.5% |
Angry | 1.3% |

AWS Rekognition
Age | 6-14 |
Gender | Male, 98.3% |
Calm | 44% |
Confused | 18.4% |
Surprised | 11.6% |
Angry | 9.1% |
Fear | 6.9% |
Sad | 4.9% |
Disgusted | 4% |
Happy | 1.2% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 78.7% |
Calm | 97.4% |
Happy | 0.7% |
Sad | 0.6% |
Surprised | 0.3% |
Confused | 0.3% |
Disgusted | 0.3% |
Fear | 0.2% |
Angry | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Female, 74.8% |
Sad | 51.2% |
Calm | 18.4% |
Angry | 15.5% |
Fear | 3.9% |
Happy | 3.5% |
Disgusted | 3.2% |
Confused | 3.2% |
Surprised | 1.1% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 70.5% |
Calm | 63.2% |
Surprised | 13.1% |
Confused | 10.2% |
Fear | 7.2% |
Happy | 3.4% |
Sad | 1.3% |
Disgusted | 0.9% |
Angry | 0.7% |

AWS Rekognition
Age | 25-35 |
Gender | Female, 59.5% |
Calm | 61.4% |
Happy | 25.9% |
Sad | 5.2% |
Confused | 2.5% |
Disgusted | 2.2% |
Angry | 1.5% |
Surprised | 0.9% |
Fear | 0.4% |

Microsoft Cognitive Services
Age | 12 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
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 likely |

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

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

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

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Possible |
Feature analysis
Categories
Imagga
paintings art | 93.7% | |
| ||
streetview architecture | 4.2% | |
|
Captions
Microsoft
created on 2022-03-19
a person with a bicycle in front of a building | 97.6% | |
| ||
a person standing in front of a bicycle | 96.9% | |
| ||
a person with a bicycle in front of a brick building | 96.7% | |
|
Text analysis
Amazon

NOR

NOR ROLL

ROLL

TS3

ERICAN

ERICAN LEGIO

LEGIO

ANI

CARE

FRASILE

FRASILE HARDLE/WITH CARE

ZION

HARDLE/WITH

SPONSCR

KODASA

NOR ROLL
SPONSUN
ERICAN
LEGIO AN
FRALE HARDIE/WIT CANE

NOR

ROLL

SPONSUN

ERICAN

LEGIO

AN

FRALE

HARDIE/WIT

CANE