Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 31-47 |
| Gender | Female, 54.7% |
| Calm | 54.7% |
| Disgusted | 45% |
| Angry | 45% |
| Surprised | 45% |
| Happy | 45% |
| Fear | 45% |
| Sad | 45.2% |
| Confused | 45% |
AWS Rekognition
| Age | 21-33 |
| Gender | Male, 52.6% |
| Angry | 50.5% |
| Calm | 45.2% |
| Fear | 47.8% |
| Confused | 45.1% |
| Disgusted | 45.5% |
| Happy | 45.2% |
| Sad | 45.5% |
| Surprised | 45.2% |
AWS Rekognition
| Age | 23-37 |
| Gender | Female, 50.4% |
| Calm | 49.7% |
| Happy | 49.6% |
| Confused | 49.5% |
| Fear | 49.5% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Sad | 50.1% |
| Angry | 49.6% |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Female |
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 man and a woman sitting on a bench | 73.2% | |
| a vintage photo of a person sitting on a bench | 73.1% | |
| a vintage photo of a man and woman sitting on a bench | 68.3% | |
Text analysis
Amazon
