Machine Generated Data
Tags
Face analysis
Amazon

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Happy | 49.5% |
Sad | 49.5% |
Disgusted | 50.4% |
Confused | 49.5% |
Calm | 49.5% |
Angry | 49.5% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 52.8% |
Surprised | 45.2% |
Happy | 45.6% |
Disgusted | 46.6% |
Angry | 45.2% |
Confused | 45.2% |
Calm | 50.2% |
Sad | 47% |

AWS Rekognition
Age | 20-38 |
Gender | Male, 50.4% |
Disgusted | 50.1% |
Confused | 49.5% |
Surprised | 49.5% |
Calm | 49.7% |
Angry | 49.6% |
Happy | 49.5% |
Sad | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 51.2% |
Happy | 45.5% |
Surprised | 45.9% |
Sad | 45.4% |
Angry | 45.5% |
Disgusted | 46% |
Confused | 45.2% |
Calm | 51.5% |

AWS Rekognition
Age | 15-25 |
Gender | Female, 50% |
Disgusted | 50.4% |
Confused | 49.5% |
Happy | 49.5% |
Angry | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 49.5% |
Captions
Microsoft
a close up of a knife | 68% | |
close up of a knife | 63.9% | |
a knife with a black background | 54.2% | |