Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-35 |
| Gender | Male, 53.7% |
| Sad | 45.1% |
| Fear | 45% |
| Disgusted | 45% |
| Happy | 45% |
| Calm | 54.7% |
| Angry | 45.1% |
| Confused | 45% |
| Surprised | 45% |
AWS Rekognition
| Age | 31-47 |
| Gender | Male, 50.3% |
| Angry | 50% |
| Disgusted | 49.7% |
| Calm | 49.7% |
| Fear | 49.5% |
| Sad | 49.5% |
| Confused | 49.5% |
| Surprised | 49.5% |
| Happy | 49.5% |
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 50% |
| Calm | 49.6% |
| Sad | 49.7% |
| Disgusted | 49.5% |
| Happy | 49.5% |
| Fear | 49.5% |
| Surprised | 49.5% |
| Angry | 50.1% |
| Confused | 49.5% |
Feature analysis
Categories
Imagga
| paintings art | 72.3% | |
| beaches seaside | 20.2% | |
| nature landscape | 3.6% | |
| streetview architecture | 3.5% | |
Captions
Microsoft
created on 2019-11-10
| a vintage photo of a person | 85.9% | |
| a vintage photo of some people | 80.9% | |
| an old photo of a person | 80.8% | |
Text analysis
Amazon
