Machine Generated Data
Tags
Amazon
created on 2022-05-28
Clarifai
created on 2023-10-30
Imagga
created on 2022-05-28
spinning wheel | 36.4 | |
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wheeled vehicle | 33.9 | |
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wheelchair | 33.5 | |
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vehicle | 32.1 | |
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spinning machine | 29.8 | |
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tricycle | 29 | |
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old | 28.5 | |
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wheel | 27.5 | |
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textile machine | 22.3 | |
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chair | 21.5 | |
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machine | 16.4 | |
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conveyance | 15.8 | |
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device | 15.2 | |
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adult | 14.9 | |
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retro | 14.7 | |
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seat | 14.6 | |
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man | 14.1 | |
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antique | 14 | |
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cart | 13.6 | |
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person | 13.5 | |
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outdoors | 13.4 | |
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people | 13.4 | |
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vintage | 13.2 | |
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bicycle | 12.8 | |
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disabled | 12.8 | |
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fashion | 12.8 | |
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transport | 12.8 | |
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transportation | 12.5 | |
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human | 12 | |
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travel | 12 | |
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carriage | 11.5 | |
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male | 11.3 | |
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ancient | 11.2 | |
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bike | 10.7 | |
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outdoor | 10.7 | |
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car | 10.6 | |
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model | 10.1 | |
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historic | 10.1 | |
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posing | 9.8 | |
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men | 9.4 | |
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tire | 9.2 | |
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attractive | 9.1 | |
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portrait | 9.1 | |
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history | 8.9 | |
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detail | 8.8 | |
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sexy | 8.8 | |
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compass | 8.8 | |
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jinrikisha | 8.6 | |
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sitting | 8.6 | |
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furniture | 8.5 | |
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historical | 8.5 | |
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senior | 8.4 | |
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help | 8.4 | |
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barrow | 8.2 | |
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style | 8.2 | |
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aged | 8.1 | |
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dress | 8.1 | |
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handicap | 7.9 | |
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ride | 7.8 | |
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outside | 7.7 | |
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elegance | 7.6 | |
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sport | 7.4 | |
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care | 7.4 | |
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clock | 7.4 | |
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lady | 7.3 | |
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sensuality | 7.3 | |
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looking | 7.2 | |
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support | 7.1 | |
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women | 7.1 | |
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summer | 7.1 | |
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medical | 7.1 | |
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architecture | 7 | |
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Google
created on 2022-05-28
Wheel | 97.6 | |
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Bicycle | 97.1 | |
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Tire | 97.1 | |
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Bicycle tire | 92.6 | |
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Bicycle wheel rim | 91 | |
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Bicycle wheel | 90.9 | |
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Automotive tire | 90.1 | |
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Motor vehicle | 87.4 | |
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Headgear | 81.6 | |
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Sports equipment | 81.4 | |
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Bicycle part | 80.3 | |
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Bicycle frame | 80.1 | |
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Art | 77.6 | |
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Spoke | 77.3 | |
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Tints and shades | 77.1 | |
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Vintage clothing | 75.5 | |
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Automotive wheel system | 73.7 | |
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Bicycle accessory | 73.6 | |
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Tree | 71.3 | |
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Recreation | 71.2 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 21-29 |
Gender | Female, 94.2% |
Happy | 98.2% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 2.2% |
Calm | 0.9% |
Angry | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 98% |
Calm | 96.5% |
Surprised | 6.6% |
Fear | 5.9% |
Sad | 2.3% |
Angry | 1.2% |
Confused | 0.7% |
Disgusted | 0.3% |
Happy | 0.1% |

Microsoft Cognitive Services
Age | 39 |
Gender | Female |

Microsoft Cognitive Services
Age | 23 |
Gender | Female |

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

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Likely |
Headwear | Possible |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
paintings art | 99.1% | |
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Captions
Microsoft
created on 2022-05-28
a vintage photo of a person on a bicycle | 89.4% | |
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a vintage photo of a person with a bicycle | 89.3% | |
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a vintage photo of a person riding on the back of a bicycle | 81.8% | |
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