Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 30-40 |
Gender | Female, 90% |
Calm | 81.3% |
Surprised | 6.5% |
Fear | 6% |
Disgusted | 5.8% |
Confused | 5.2% |
Sad | 3.4% |
Angry | 2.7% |
Happy | 0.9% |

AWS Rekognition
Age | 30-40 |
Gender | Male, 99.8% |
Calm | 87.7% |
Surprised | 6.6% |
Fear | 6.1% |
Angry | 3.8% |
Happy | 3.5% |
Sad | 3% |
Disgusted | 1% |
Confused | 0.4% |

AWS Rekognition
Age | 24-34 |
Gender | Male, 99.9% |
Surprised | 67.8% |
Happy | 18.6% |
Sad | 16.2% |
Calm | 10.2% |
Disgusted | 8.3% |
Fear | 6.2% |
Angry | 4% |
Confused | 2.7% |

AWS Rekognition
Age | 21-29 |
Gender | Male, 98% |
Angry | 42.3% |
Happy | 18% |
Calm | 16% |
Fear | 9.8% |
Surprised | 8.4% |
Sad | 4.7% |
Confused | 3.1% |
Disgusted | 2.9% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 93.1% |
Calm | 68.8% |
Happy | 16.2% |
Fear | 7.5% |
Surprised | 6.7% |
Sad | 4.4% |
Angry | 2.8% |
Disgusted | 1.4% |
Confused | 0.9% |
Feature analysis
Amazon

Person | 97.4% | |

Person | 96.1% | |

Person | 95.5% | |

Person | 95.5% | |

Person | 94.9% | |

Person | 94.8% | |

Person | 89.4% | |

Person | 88.5% | |

Person | 85.2% | |

Person | 84.6% | |

Person | 81.8% | |

Person | 80.5% | |

Person | 79.2% | |

Person | 78.8% | |

Person | 78% | |

Person | 74.3% | |

Person | 72.2% | |

Person | 71.1% | |

Person | 68.8% | |

Person | 63.3% | |

Person | 62.2% | |

Person | 61.9% | |

Car | 97.1% | |

Car | 96.9% | |

Car | 89.8% | |

Car | 84.9% | |

Car | 75.8% | |

Car | 71.6% | |

Car | 56% | |

Wheel | 94.4% | |

Wheel | 92.2% | |

Wheel | 86.3% | |

Wheel | 84.4% | |

Wheel | 83.5% | |

Wheel | 61.9% | |

Wheel | 60.1% | |

Shoe | 56.9% | |
Categories
Imagga
cars vehicles | 92.6% | |
paintings art | 3.3% | |
interior objects | 2% | |
Captions
Microsoft
created on 2018-05-11
a black and white photo of a truck | 95.7% | |
a group of people riding on the back of a truck | 90.5% | |
a group of men riding on the back of a truck | 87.1% | |