Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Male, 92.5% |
Calm | 97.7% |
Sad | 0.6% |
Confused | 0.6% |
Surprised | 0.5% |
Angry | 0.2% |
Disgusted | 0.2% |
Fear | 0.2% |
Happy | 0.1% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 83.8% |
Calm | 81.1% |
Happy | 15.6% |
Sad | 1.4% |
Confused | 0.6% |
Surprised | 0.5% |
Angry | 0.3% |
Disgusted | 0.3% |
Fear | 0.1% |

AWS Rekognition
Age | 23-31 |
Gender | Male, 88.6% |
Calm | 99.1% |
Sad | 0.5% |
Happy | 0.1% |
Fear | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Surprised | 0% |
Angry | 0% |

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 unlikely |
Blurred | Very unlikely |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
a vintage photo of a building | 83.5% | |
a vintage photo of an old building | 79.7% | |
a vintage photo of a person sitting in front of a building | 59.8% | |