Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 35-55 |
Gender | Male, 84% |
Sad | 4.8% |
Happy | 4.2% |
Angry | 12.5% |
Confused | 3.1% |
Surprised | 2.1% |
Disgusted | 45.2% |
Calm | 28.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 85.1% |
Happy | 1.5% |
Surprised | 2.6% |
Sad | 4.7% |
Calm | 75.1% |
Angry | 4.1% |
Disgusted | 10.2% |
Confused | 1.8% |

Microsoft Cognitive Services
Age | 29 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
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
Categories
Imagga
people portraits | 79.4% | |
streetview architecture | 8.3% | |
events parties | 4% | |
paintings art | 3.6% | |
food drinks | 2.1% | |
nature landscape | 1.4% | |
Captions
Microsoft
created on 2019-05-29
a vintage photo of a boy | 88.5% | |
a vintage photo of a person | 88.4% | |
an old black and white photo of a boy | 83.2% | |