Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 22-34 |
Gender | Female, 94.8% |
Disgusted | 0.2% |
Calm | 75.2% |
Angry | 1% |
Sad | 20.2% |
Confused | 1.3% |
Fear | 1.2% |
Happy | 0.4% |
Surprised | 0.5% |

AWS Rekognition
Age | 34-50 |
Gender | Male, 99.9% |
Sad | 1.4% |
Disgusted | 0.5% |
Fear | 0.1% |
Calm | 89% |
Angry | 0.9% |
Confused | 7.5% |
Surprised | 0.2% |
Happy | 0.4% |

Microsoft Cognitive Services
Age | 48 |
Gender | Male |

Microsoft Cognitive Services
Age | 32 |
Gender | Female |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
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
Categories
Imagga
people portraits | 70.7% | |
events parties | 16% | |
interior objects | 7.4% | |
food drinks | 3.1% | |
pets animals | 1.4% | |
Captions
Microsoft
created on 2019-11-07
annu palakunnathu matthew et al. posing for a photo | 96.9% | |
annu palakunnathu matthew et al. posing for the camera | 96.8% | |
annu palakunnathu matthew et al. posing for a picture | 96.7% | |