Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 39-47 |
Gender | Male, 98.9% |
Calm | 79.6% |
Happy | 16.6% |
Sad | 1.3% |
Disgusted | 0.8% |
Confused | 0.8% |
Surprised | 0.4% |
Angry | 0.2% |
Fear | 0.2% |

AWS Rekognition
Age | 23-33 |
Gender | Male, 56.6% |
Calm | 97.1% |
Sad | 2.6% |
Happy | 0.2% |
Angry | 0.1% |
Surprised | 0% |
Confused | 0% |
Fear | 0% |
Disgusted | 0% |

AWS Rekognition
Age | 26-36 |
Gender | Male, 96.5% |
Calm | 99.7% |
Happy | 0.2% |
Sad | 0% |
Surprised | 0% |
Disgusted | 0% |
Confused | 0% |
Fear | 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 | Unlikely |
Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
a man and a woman standing in front of a mirror | 75% | |
a person standing in front of a mirror | 74.9% | |
a person standing in front of a mirror posing for the camera | 74.8% | |