Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 23-31 |
Gender | Male, 89.2% |
Calm | 50.4% |
Disgusted | 27% |
Confused | 11.3% |
Sad | 6.5% |
Surprised | 1.5% |
Angry | 1.2% |
Happy | 1.1% |
Fear | 0.9% |

AWS Rekognition
Age | 27-37 |
Gender | Male, 99.8% |
Sad | 45.9% |
Disgusted | 20% |
Confused | 14.8% |
Calm | 9.3% |
Happy | 3.3% |
Angry | 2.9% |
Surprised | 2% |
Fear | 1.9% |

AWS Rekognition
Age | 16-24 |
Gender | Male, 73.2% |
Calm | 46% |
Sad | 40.2% |
Confused | 7.6% |
Surprised | 2.1% |
Disgusted | 1.3% |
Angry | 1.2% |
Happy | 0.8% |
Fear | 0.7% |
Feature analysis
Categories
Imagga
nature landscape | 62.9% | |
paintings art | 11.1% | |
streetview architecture | 8.3% | |
beaches seaside | 5% | |
pets animals | 4.2% | |
interior objects | 2.6% | |
text visuals | 2.4% | |
sunrises sunsets | 1.3% | |
cars vehicles | 1.1% | |
Captions
Microsoft
created on 2022-02-05
a vintage photo of a train | 67.9% | |
a vintage photo of a train on a steel track | 52.5% | |
a vintage photo of a train on a track | 52.4% | |