Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 93.9% |
| Calm | 83% |
| Sad | 6.7% |
| Happy | 2.8% |
| Disgusted | 2.7% |
| Angry | 1.8% |
| Confused | 1.2% |
| Fear | 1% |
| Surprised | 0.7% |
AWS Rekognition
| Age | 20-28 |
| Gender | Female, 71.9% |
| Happy | 34.8% |
| Sad | 20.5% |
| Calm | 19.2% |
| Fear | 8.4% |
| Disgusted | 8.2% |
| Surprised | 3.7% |
| Confused | 3.3% |
| Angry | 1.9% |
AWS Rekognition
| Age | 9-17 |
| Gender | Male, 96.6% |
| Calm | 98.2% |
| Happy | 0.9% |
| Sad | 0.3% |
| Angry | 0.1% |
| Surprised | 0.1% |
| Fear | 0.1% |
| Disgusted | 0.1% |
| Confused | 0.1% |
AWS Rekognition
| Age | 13-21 |
| Gender | Male, 86.4% |
| Calm | 52.4% |
| Fear | 26.7% |
| Sad | 5.5% |
| Surprised | 4.2% |
| Angry | 3.5% |
| Disgusted | 3.1% |
| Happy | 3.1% |
| Confused | 1.6% |
Feature analysis
Categories
Imagga
| text visuals | 98.4% | |
Captions
Microsoft
created on 2022-01-09
| a vintage photo of a train | 72.8% | |
| a vintage photo of a steam train | 72.7% | |
| an old photo of a train | 72.1% | |
Text analysis
Amazon
