Machine Generated Data
Tags
Face analysis
Amazon
AWS Rekognition
| Age | 23-35 |
| Gender | Male, 53.4% |
| Calm | 53.5% |
| Surprised | 45% |
| Angry | 46.2% |
| Sad | 45.2% |
| Happy | 45% |
| Fear | 45% |
| Confused | 45% |
| Disgusted | 45% |
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 51.3% |
| Confused | 45.1% |
| Angry | 46% |
| Fear | 45.2% |
| Happy | 45.2% |
| Calm | 51.7% |
| Surprised | 45.1% |
| Disgusted | 45.1% |
| Sad | 46.6% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a vintage photo of a person | 90.8% | |
| a vintage photo of a man and woman posing for a picture | 74.2% | |
| a vintage photo of a man and a woman posing for a picture | 74.1% | |
Text analysis
Amazon
