Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 39-47 |
| Gender | Male, 89.5% |
| Sad | 99.9% |
| Calm | 11.7% |
| Surprised | 6.5% |
| Fear | 6.3% |
| Angry | 5.5% |
| Disgusted | 1.7% |
| Confused | 1.1% |
| Happy | 0.4% |
AWS Rekognition
| Age | 25-35 |
| Gender | Female, 95.8% |
| Happy | 52.4% |
| Calm | 20.5% |
| Disgusted | 16.2% |
| Surprised | 8.7% |
| Fear | 6.1% |
| Angry | 3.7% |
| Sad | 2.8% |
| Confused | 0.4% |
AWS Rekognition
| Age | 20-28 |
| Gender | Male, 99.7% |
| Calm | 99.8% |
| Surprised | 6.3% |
| Fear | 5.9% |
| Sad | 2.2% |
| Happy | 0.1% |
| Disgusted | 0% |
| Angry | 0% |
| Confused | 0% |
Feature analysis
Categories
Imagga
| paintings art | 67.4% | |
| interior objects | 14.4% | |
| food drinks | 11.9% | |
| text visuals | 4% | |
| pets animals | 1.7% | |
Captions
Microsoft
created on 2019-02-18
| an old photo of a person | 51% | |
| an old photo of a person in a room | 50.9% | |
| an old photo of a person | 47.8% | |
Text analysis
Amazon
