Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 99.7% |
| Calm | 97.6% |
| Happy | 0.9% |
| Confused | 0.7% |
| Angry | 0.4% |
| Surprised | 0.2% |
| Sad | 0.1% |
| Fear | 0.1% |
| Disgusted | 0% |
AWS Rekognition
| Age | 31-41 |
| Gender | Female, 100% |
| Calm | 74.3% |
| Happy | 21.8% |
| Sad | 1.3% |
| Confused | 0.9% |
| Angry | 0.7% |
| Disgusted | 0.4% |
| Surprised | 0.4% |
| Fear | 0.3% |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Likely |
| Headwear | Very 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
Amazon
| Person | 97.5% | |
| Wedding Gown | 70.7% | |
Captions
Microsoft
| a woman standing in front of a mirror posing for the camera | 88.5% | |
| a woman standing in front of a mirror | 87.3% | |
| a woman in a dress standing in front of a mirror | 87.2% | |
Text analysis
Amazon
