Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 36-54 |
| Gender | Female, 58.1% |
| Happy | 0% |
| Sad | 0% |
| Disgusted | 0.1% |
| Calm | 0% |
| Surprised | 14.4% |
| Confused | 0.2% |
| Angry | 0.1% |
| Fear | 85.1% |
AWS Rekognition
| Age | 19-31 |
| Gender | Male, 94.9% |
| Surprised | 99.2% |
| Happy | 0% |
| Calm | 0.6% |
| Fear | 0.1% |
| Sad | 0% |
| Disgusted | 0% |
| Confused | 0.1% |
| Angry | 0% |
Microsoft Cognitive Services
| Age | 31 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a woman posing for a photo | 95% | |
| an old photo of a woman | 94.3% | |
| a black and white photo of a woman | 91.1% | |
Text analysis
Amazon
