Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 22-30 |
Gender | Female, 98.8% |
Calm | 85.5% |
Sad | 7.4% |
Angry | 2.5% |
Fear | 2.5% |
Disgusted | 0.9% |
Surprised | 0.5% |
Happy | 0.4% |
Confused | 0.3% |

AWS Rekognition
Age | 22-30 |
Gender | Female, 59% |
Sad | 46.4% |
Angry | 22.7% |
Calm | 22.1% |
Disgusted | 2.8% |
Confused | 2.1% |
Happy | 2% |
Surprised | 1.1% |
Fear | 0.8% |

AWS Rekognition
Age | 40-48 |
Gender | Female, 85.5% |
Calm | 83.1% |
Happy | 8.1% |
Disgusted | 2% |
Angry | 1.8% |
Surprised | 1.8% |
Fear | 1.5% |
Sad | 1.1% |
Confused | 0.7% |
Feature analysis
Categories
Imagga
beaches seaside | 48.7% | |
cars vehicles | 25.7% | |
nature landscape | 19.1% | |
text visuals | 2.8% | |
streetview architecture | 1.6% | |
interior objects | 1.1% | |
Captions
Microsoft
created on 2022-01-30
a vintage photo of a train | 79.9% | |
an old photo of a train | 78.9% | |
a vintage photo of a train station | 76.2% | |