Machine Generated Data
Tags
Amazon
created on 2023-10-06
Clothing | 100 | |
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Hat | 100 | |
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Coat | 100 | |
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Sun Hat | 99.7 | |
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Adult | 98 | |
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Male | 98 | |
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Man | 98 | |
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Person | 98 | |
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Adult | 97.9 | |
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Male | 97.9 | |
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Man | 97.9 | |
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Person | 97.9 | |
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Adult | 97.1 | |
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Male | 97.1 | |
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Man | 97.1 | |
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Person | 97.1 | |
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Adult | 95.8 | |
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Male | 95.8 | |
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Man | 95.8 | |
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Person | 95.8 | |
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People | 95.7 | |
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Person | 95.2 | |
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Person | 95.1 | |
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Person | 95 | |
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Adult | 94.6 | |
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Male | 94.6 | |
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Man | 94.6 | |
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Person | 94.6 | |
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Person | 94.3 | |
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Baby | 94.3 | |
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Person | 93.6 | |
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Adult | 93.2 | |
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Male | 93.2 | |
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Man | 93.2 | |
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Person | 93.2 | |
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Person | 93.2 | |
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Person | 92.5 | |
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Adult | 92 | |
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Male | 92 | |
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Man | 92 | |
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Person | 92 | |
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Person | 92 | |
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Face | 90.2 | |
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Head | 90.2 | |
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Person | 89.7 | |
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Adult | 88.5 | |
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Male | 88.5 | |
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Man | 88.5 | |
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Person | 88.5 | |
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Person | 87.4 | |
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Person | 86.6 | |
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Cap | 84.9 | |
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Person | 80.1 | |
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Machine | 79.6 | |
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Wheel | 79.6 | |
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Wheel | 79.4 | |
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Person | 77.8 | |
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Person | 73.7 | |
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Crowd | 70.7 | |
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Wheel | 70.6 | |
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Person | 64.7 | |
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Overcoat | 55.6 | |
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Car | 55 | |
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Transportation | 55 | |
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Vehicle | 55 | |
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Clarifai
created on 2018-05-11
Imagga
created on 2023-10-06
man | 25.5 | |
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city | 22.4 | |
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person | 21.4 | |
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people | 21.2 | |
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outdoor | 19.1 | |
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building | 18.5 | |
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adult | 18.2 | |
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urban | 17.5 | |
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street | 16.6 | |
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male | 15.8 | |
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uniform | 14.2 | |
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portrait | 12.9 | |
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looking | 12.8 | |
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one | 12.7 | |
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clothing | 12.1 | |
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snow | 12.1 | |
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men | 12 | |
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work | 12 | |
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outdoors | 11.9 | |
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old | 11.8 | |
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architecture | 11.7 | |
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pedestrian | 11.6 | |
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industry | 11.1 | |
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winter | 11.1 | |
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safety | 11 | |
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protection | 10.9 | |
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industrial | 10.9 | |
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leisure | 10.8 | |
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travel | 10.6 | |
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life | 10.4 | |
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lifestyle | 10.1 | |
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helmet | 10 | |
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transportation | 9.9 | |
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military uniform | 9.8 | |
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human | 9.7 | |
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walking | 9.5 | |
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cold | 9.5 | |
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seller | 9.1 | |
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history | 8.9 | |
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sky | 8.9 | |
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to | 8.8 | |
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disaster | 8.8 | |
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vehicle | 8.5 | |
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youth | 8.5 | |
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stretcher | 8.4 | |
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passenger | 8.3 | |
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danger | 8.2 | |
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destruction | 7.8 | |
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backpack | 7.8 | |
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sitting | 7.7 | |
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sport | 7.7 | |
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outside | 7.7 | |
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construction | 7.7 | |
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cityscape | 7.6 | |
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vacation | 7.4 | |
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business | 7.3 | |
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road | 7.2 | |
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activity | 7.2 | |
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conveyance | 7.1 | |
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gun | 7 | |
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Google
created on 2018-05-11
photograph | 94.8 | |
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black and white | 90.4 | |
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monochrome photography | 75.6 | |
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monochrome | 65.7 | |
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vehicle | 65.6 | |
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militia | 57.3 | |
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street | 53.3 | |
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human behavior | 52 | |
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Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 43-51 |
Gender | Male, 100% |
Calm | 98.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Angry | 0.4% |
Confused | 0.3% |
Happy | 0.1% |
Disgusted | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 100% |
Calm | 99.9% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.2% |
Confused | 0% |
Angry | 0% |
Disgusted | 0% |
Happy | 0% |

AWS Rekognition
Age | 20-28 |
Gender | Male, 99.5% |
Calm | 92.7% |
Surprised | 6.3% |
Fear | 5.9% |
Angry | 5.8% |
Sad | 2.3% |
Confused | 0.7% |
Disgusted | 0.1% |
Happy | 0% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 100% |
Calm | 93.7% |
Surprised | 6.4% |
Fear | 5.9% |
Confused | 2.7% |
Sad | 2.2% |
Angry | 2% |
Happy | 0.5% |
Disgusted | 0.4% |

AWS Rekognition
Age | 43-51 |
Gender | Male, 100% |
Sad | 100% |
Surprised | 6.3% |
Calm | 6% |
Fear | 6% |
Angry | 2.9% |
Happy | 0.5% |
Confused | 0.2% |
Disgusted | 0.2% |

AWS Rekognition
Age | 48-56 |
Gender | Male, 99.9% |
Calm | 66.6% |
Sad | 25.3% |
Surprised | 9.4% |
Fear | 6.8% |
Angry | 2.6% |
Confused | 1.9% |
Disgusted | 1.4% |
Happy | 0.8% |

AWS Rekognition
Age | 6-14 |
Gender | Female, 99.8% |
Calm | 68.1% |
Confused | 12.2% |
Surprised | 7.9% |
Fear | 6.8% |
Disgusted | 4.6% |
Sad | 4.4% |
Happy | 2.3% |
Angry | 2.3% |

AWS Rekognition
Age | 34-42 |
Gender | Male, 99.7% |
Calm | 92.2% |
Surprised | 6.4% |
Fear | 5.9% |
Sad | 3.9% |
Angry | 1.9% |
Confused | 0.8% |
Disgusted | 0.3% |
Happy | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Female, 52.5% |
Calm | 88.1% |
Surprised | 7.1% |
Fear | 6% |
Angry | 5.6% |
Sad | 2.5% |
Confused | 2.2% |
Disgusted | 0.5% |
Happy | 0.4% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 99.8% |
Calm | 78.9% |
Surprised | 11.6% |
Fear | 6.2% |
Angry | 4.9% |
Happy | 4.2% |
Sad | 2.4% |
Disgusted | 1.6% |
Confused | 0.9% |

AWS Rekognition
Age | 35-43 |
Gender | Male, 99.6% |
Happy | 54.3% |
Calm | 26.5% |
Surprised | 7.2% |
Fear | 6.9% |
Disgusted | 5.4% |
Sad | 5.2% |
Confused | 1.6% |
Angry | 1.4% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 90.8% |
Sad | 99.4% |
Disgusted | 15.2% |
Fear | 10.3% |
Surprised | 8% |
Calm | 5.4% |
Confused | 2.9% |
Angry | 1.3% |
Happy | 0.6% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 99.9% |
Confused | 98.2% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.5% |
Calm | 0.3% |
Disgusted | 0% |
Angry | 0% |
Happy | 0% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 98% |
Calm | 70.1% |
Sad | 29.1% |
Surprised | 6.5% |
Angry | 6.3% |
Fear | 6.3% |
Happy | 0.8% |
Confused | 0.4% |
Disgusted | 0.3% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 98.9% |
Calm | 96.6% |
Surprised | 6.8% |
Fear | 5.9% |
Sad | 2.3% |
Happy | 0.7% |
Disgusted | 0.5% |
Confused | 0.4% |
Angry | 0.2% |

AWS Rekognition
Age | 19-27 |
Gender | Male, 97% |
Calm | 61% |
Disgusted | 22.3% |
Confused | 8.4% |
Surprised | 7.3% |
Fear | 6.3% |
Sad | 3.1% |
Angry | 1.7% |
Happy | 1% |

Microsoft Cognitive Services
Age | 27 |
Gender | Female |

Microsoft Cognitive Services
Age | 27 |
Gender | Male |

Microsoft Cognitive Services
Age | 65 |
Gender | Male |

Microsoft Cognitive Services
Age | 24 |
Gender | Female |

Microsoft Cognitive Services
Age | 40 |
Gender | Male |

Microsoft Cognitive Services
Age | 42 |
Gender | Male |

Microsoft Cognitive Services
Age | 31 |
Gender | Male |

Microsoft Cognitive Services
Age | 20 |
Gender | Male |

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 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 | Very likely |
Blurred | Very unlikely |
Feature analysis
Amazon
Adult
Male
Man
Person
Baby
Wheel
Car

Adult | 98% | |
|

Adult | 97.9% | |
|

Adult | 97.1% | |
|

Adult | 95.8% | |
|

Adult | 94.6% | |
|

Adult | 93.2% | |
|

Adult | 92% | |
|

Adult | 88.5% | |
|

Male | 98% | |
|

Male | 97.9% | |
|

Male | 97.1% | |
|

Male | 95.8% | |
|

Male | 94.6% | |
|

Male | 93.2% | |
|

Male | 92% | |
|

Male | 88.5% | |
|

Man | 98% | |
|

Man | 97.9% | |
|

Man | 97.1% | |
|

Man | 95.8% | |
|

Man | 94.6% | |
|

Man | 93.2% | |
|

Man | 92% | |
|

Man | 88.5% | |
|

Person | 98% | |
|

Person | 97.9% | |
|

Person | 97.1% | |
|

Person | 95.8% | |
|

Person | 95.2% | |
|

Person | 95.1% | |
|

Person | 95% | |
|

Person | 94.6% | |
|

Person | 94.3% | |
|

Person | 93.6% | |
|

Person | 93.2% | |
|

Person | 93.2% | |
|

Person | 92.5% | |
|

Person | 92% | |
|

Person | 92% | |
|

Person | 89.7% | |
|

Person | 88.5% | |
|

Person | 87.4% | |
|

Person | 86.6% | |
|

Person | 80.1% | |
|

Person | 77.8% | |
|

Person | 73.7% | |
|

Person | 64.7% | |
|

Baby | 94.3% | |
|

Wheel | 79.6% | |
|

Wheel | 79.4% | |
|

Wheel | 70.6% | |
|

Car | 55% | |
|
Categories
Imagga
paintings art | 42.9% | |
| ||
cars vehicles | 23% | |
| ||
people portraits | 11.2% | |
| ||
interior objects | 6.2% | |
| ||
food drinks | 5.9% | |
| ||
streetview architecture | 3.6% | |
| ||
beaches seaside | 2.7% | |
| ||
nature landscape | 1.8% | |
| ||
pets animals | 1.8% | |
|
Captions
Microsoft
created on 2018-05-11
a group of people sitting around each other | 91.1% | |
| ||
a group of people sitting at a table | 89.1% | |
| ||
a group of people sitting around a table | 89% | |
|
Text analysis
Amazon

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- value

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TRENNOR

value