Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 99.9% |
| Calm | 96.9% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Sad | 2.9% |
| Confused | 0.3% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 23-33 |
| Gender | Female, 99% |
| Happy | 36.7% |
| Fear | 25.1% |
| Calm | 18.8% |
| Surprised | 8.9% |
| Angry | 4.9% |
| Sad | 4.5% |
| Disgusted | 2.4% |
| Confused | 2.4% |
AWS Rekognition
| Age | 20-28 |
| Gender | Male, 59.1% |
| Confused | 42% |
| Happy | 28.7% |
| Fear | 8.5% |
| Surprised | 8.2% |
| Calm | 7.2% |
| Disgusted | 5.8% |
| Sad | 4.4% |
| Angry | 1.8% |
Feature analysis
Amazon
| Person | 98.9% | |
Categories
Imagga
| beaches seaside | 78.4% | |
| nature landscape | 12.5% | |
| paintings art | 6.7% | |
| food drinks | 1.5% | |
Captions
Microsoft
created on 2019-02-27
| an old photo of a bird | 41.3% | |
| an old photo of a person | 41.2% | |
| old photo of a bird | 36.3% | |
Text analysis
Amazon
