Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 29-39 |
Gender | Male, 97.4% |
Calm | 66.6% |
Surprised | 31.1% |
Happy | 0.9% |
Confused | 0.6% |
Sad | 0.4% |
Disgusted | 0.2% |
Angry | 0.1% |
Fear | 0.1% |

AWS Rekognition
Age | 37-45 |
Gender | Male, 99.6% |
Calm | 45.2% |
Happy | 18.5% |
Sad | 17.2% |
Fear | 9.1% |
Surprised | 4% |
Disgusted | 2.7% |
Angry | 2.6% |
Confused | 0.8% |

AWS Rekognition
Age | 38-46 |
Gender | Female, 74.4% |
Calm | 66.2% |
Sad | 27.7% |
Disgusted | 2.2% |
Surprised | 1.8% |
Happy | 0.8% |
Fear | 0.6% |
Angry | 0.4% |
Confused | 0.3% |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Possible |
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
Amazon
Person | 99% | |
Captions
Microsoft
a woman standing in front of a mirror posing for the camera | 86.2% | |
a man and woman standing in front of a mirror posing for the camera | 59.5% | |
a man and woman posing for a photo | 59.4% | |