Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-55 |
Gender | Male, 98.8% |
Confused | 7.7% |
Sad | 18.1% |
Disgusted | 6.6% |
Happy | 3.8% |
Angry | 22.9% |
Surprised | 4.6% |
Calm | 36.4% |

AWS Rekognition
Age | 38-59 |
Gender | Male, 94.5% |
Angry | 3.7% |
Disgusted | 2.2% |
Calm | 17% |
Happy | 62.3% |
Sad | 4.7% |
Surprised | 7.9% |
Confused | 2.3% |

AWS Rekognition
Age | 48-68 |
Gender | Male, 55% |
Calm | 47.4% |
Confused | 45.8% |
Surprised | 46% |
Disgusted | 45.6% |
Happy | 48.1% |
Angry | 46.2% |
Sad | 45.9% |

AWS Rekognition
Age | 35-55 |
Gender | Male, 76% |
Disgusted | 7.2% |
Sad | 18.5% |
Calm | 46.8% |
Surprised | 6.9% |
Happy | 5.5% |
Confused | 11.1% |
Angry | 4% |

AWS Rekognition
Age | 38-57 |
Gender | Male, 51.8% |
Confused | 45% |
Happy | 45% |
Surprised | 45% |
Angry | 45% |
Sad | 54.9% |
Calm | 45% |
Disgusted | 45% |

Microsoft Cognitive Services
Age | 56 |
Gender | Male |

Microsoft Cognitive Services
Age | 59 |
Gender | Male |
Feature analysis
Categories
Imagga
people portraits | 57.8% | |
paintings art | 13.3% | |
streetview architecture | 11% | |
pets animals | 6.9% | |
text visuals | 5.1% | |
events parties | 4% | |
nature landscape | 0.7% | |
interior objects | 0.5% | |
food drinks | 0.4% | |
beaches seaside | 0.1% | |
cars vehicles | 0.1% | |