Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 16-27 |
Gender | Female, 50.3% |
Sad | 49.7% |
Calm | 49.6% |
Happy | 49.9% |
Surprised | 49.5% |
Angry | 49.6% |
Disgusted | 49.5% |
Confused | 49.6% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.1% |
Surprised | 49.5% |
Happy | 49.6% |
Sad | 49.6% |
Angry | 49.9% |
Disgusted | 49.7% |
Confused | 49.6% |
Calm | 49.7% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Surprised | 49.5% |
Disgusted | 50.1% |
Sad | 49.6% |
Calm | 49.6% |
Happy | 49.6% |
Confused | 49.5% |
Angry | 49.6% |

AWS Rekognition
Age | 14-25 |
Gender | Female, 50.5% |
Sad | 49.6% |
Surprised | 49.5% |
Confused | 49.6% |
Angry | 49.8% |
Happy | 49.6% |
Calm | 49.8% |
Disgusted | 49.6% |

AWS Rekognition
Age | 35-52 |
Gender | Female, 50.1% |
Surprised | 49.6% |
Disgusted | 49.6% |
Angry | 49.6% |
Sad | 49.6% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 49.8% |
Feature analysis
Categories
Imagga
interior objects | 73.5% | |
paintings art | 8% | |
streetview architecture | 6.5% | |
text visuals | 5.9% | |
food drinks | 3.6% | |
events parties | 1.3% | |
Captions
Microsoft
created on 2019-06-05
a screen shot of a book | 41.7% | |
a book on a table | 40.4% | |
a close up of a book | 40.3% | |