Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 23-33 |
Gender | Female, 50.2% |
Calm | 78.1% |
Sad | 19.6% |
Confused | 0.6% |
Angry | 0.5% |
Disgusted | 0.4% |
Happy | 0.4% |
Surprised | 0.3% |
Fear | 0.2% |

AWS Rekognition
Age | 34-42 |
Gender | Female, 76.9% |
Happy | 92.6% |
Sad | 4.4% |
Calm | 0.8% |
Surprised | 0.7% |
Angry | 0.4% |
Disgusted | 0.4% |
Confused | 0.3% |
Fear | 0.3% |

AWS Rekognition
Age | 52-60 |
Gender | Male, 98.6% |
Calm | 91% |
Angry | 3.2% |
Confused | 2.4% |
Sad | 0.9% |
Fear | 0.8% |
Happy | 0.8% |
Surprised | 0.7% |
Disgusted | 0.2% |

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 | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Captions
Microsoft
a group of people standing in front of a mirror posing for the camera | 89.6% | |
a group of people standing in front of a mirror | 89.5% | |
a man and a woman standing in front of a mirror | 80.3% | |