Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 18-26 |
| Gender | Male, 91% |
| Sad | 89.2% |
| Calm | 9.6% |
| Confused | 0.4% |
| Surprised | 0.3% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Happy | 0% |
AWS Rekognition
| Age | 16-24 |
| Gender | Female, 100% |
| Calm | 88.7% |
| Surprised | 4.7% |
| Fear | 2.8% |
| Sad | 1.2% |
| Confused | 0.9% |
| Angry | 0.8% |
| Happy | 0.5% |
| Disgusted | 0.4% |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 35 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Likely |
| 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
| an old photo of a person | 86.7% | |
| a man and woman posing for a photo | 51.2% | |
| a man and a woman posing for a photo | 51.1% | |
Text analysis
Amazon
