Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 16-24 |
| Gender | Male, 88.6% |
| Calm | 86.4% |
| Happy | 10.9% |
| Sad | 0.9% |
| Confused | 0.7% |
| Angry | 0.4% |
| Surprised | 0.3% |
| Disgusted | 0.2% |
| Fear | 0.2% |
AWS Rekognition
| Age | 29-39 |
| Gender | Male, 100% |
| Calm | 95.8% |
| Happy | 2.9% |
| Confused | 0.7% |
| Surprised | 0.2% |
| Angry | 0.1% |
| Sad | 0.1% |
| Disgusted | 0.1% |
| Fear | 0.1% |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 21 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a man and woman posing for a photo | 87.5% | |
| a man and a woman posing for a photo | 87.4% | |
| a man and a woman standing in front of a building | 87.3% | |
Text analysis
Amazon
