Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-31 |
| Gender | Female, 99.6% |
| Happy | 70.2% |
| Fear | 8.9% |
| Calm | 5.5% |
| Angry | 5.2% |
| Sad | 3.3% |
| Surprised | 2.9% |
| Disgusted | 2.4% |
| Confused | 1.6% |
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 99.9% |
| Happy | 57.6% |
| Calm | 20.5% |
| Fear | 5.3% |
| Disgusted | 5.1% |
| Sad | 4.1% |
| Confused | 4.1% |
| Surprised | 1.7% |
| Angry | 1.6% |
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 85.8% |
| Happy | 35.7% |
| Calm | 29.8% |
| Sad | 9.7% |
| Confused | 9% |
| Disgusted | 5% |
| Fear | 4.9% |
| Angry | 4.8% |
| Surprised | 1.2% |
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 89% |
| Sad | 55.2% |
| Calm | 22.9% |
| Confused | 10.1% |
| Fear | 2.8% |
| Disgusted | 2.7% |
| Surprised | 2.5% |
| Happy | 2.2% |
| Angry | 1.6% |
Feature analysis
Captions
Microsoft
| a vintage photo of a store | 74.9% | |
| a vintage photo of a building | 74.8% | |
| a vintage photo of a group of people standing in front of a building | 61.6% | |
Text analysis
Amazon
