Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 18-26 |
Gender | Male, 89% |
Sad | 80.6% |
Calm | 15.5% |
Confused | 1.4% |
Fear | 0.8% |
Disgusted | 0.7% |
Angry | 0.6% |
Surprised | 0.4% |
Happy | 0.1% |

AWS Rekognition
Age | 22-30 |
Gender | Male, 99.8% |
Calm | 99.4% |
Sad | 0.3% |
Fear | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Angry | 0% |
Confused | 0% |
Happy | 0% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 99.5% |
Calm | 86.4% |
Sad | 5.7% |
Fear | 3.7% |
Disgusted | 1.8% |
Angry | 1.3% |
Happy | 0.5% |
Surprised | 0.5% |
Confused | 0.2% |

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 teddy bear | 28% | |
a vintage photo of a baby | 27.9% | |