Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft

AWS Rekognition
Age | 12-22 |
Gender | Female, 50.8% |
Calm | 54.3% |
Sad | 45.7% |
Angry | 45% |
Disgusted | 45% |
Happy | 45% |
Surprised | 45% |
Fear | 45% |
Confused | 45% |

AWS Rekognition
Age | 20-32 |
Gender | Male, 54.9% |
Disgusted | 45% |
Happy | 45% |
Angry | 45.1% |
Fear | 45% |
Sad | 46.3% |
Surprised | 45% |
Confused | 45% |
Calm | 53.6% |

Microsoft Cognitive Services
Age | 22 |
Gender | Female |

Microsoft Cognitive Services
Age | 22 |
Gender | Male |

Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 85.5% | |
food drinks | 8.3% | |
events parties | 2.6% | |
paintings art | 1.3% | |
Captions
Microsoft
created on 2019-11-16
a black and white photo of a person | 79.5% | |
a black and white photo of a store | 74.8% | |
black and white photo of a person | 73.3% | |