Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-38 |
Gender | Female, 50.3% |
Confused | 45.1% |
Sad | 51.2% |
Disgusted | 45% |
Happy | 45.1% |
Surprised | 45.1% |
Angry | 45.2% |
Calm | 48.4% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 53.2% |
Surprised | 45.4% |
Happy | 45.2% |
Disgusted | 45.1% |
Confused | 45.1% |
Sad | 45.7% |
Angry | 45.4% |
Calm | 53.2% |

AWS Rekognition
Age | 26-43 |
Gender | Male, 54.8% |
Surprised | 45.5% |
Confused | 45.3% |
Calm | 48% |
Happy | 45.7% |
Disgusted | 45.2% |
Angry | 45.4% |
Sad | 49.9% |

AWS Rekognition
Age | 20-38 |
Gender | Female, 54.4% |
Angry | 49% |
Calm | 46% |
Confused | 45.2% |
Surprised | 45.4% |
Sad | 48.8% |
Disgusted | 45.1% |
Happy | 45.6% |
Categories
Imagga
paintings art | 82.7% | |
cars vehicles | 8.2% | |
nature landscape | 4.1% | |
interior objects | 1.5% | |
food drinks | 0.9% | |
text visuals | 0.9% | |
pets animals | 0.7% | |
beaches seaside | 0.5% | |
macro flowers | 0.4% | |
sunrises sunsets | 0.1% | |
Captions
Microsoft
a close up of a knife | 43.4% | |
close up of a knife | 39% | |
a knife next to it | 34% | |