Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 99.2% |
| Happy | 3.6% |
| Disgusted | 7.6% |
| Surprised | 3.7% |
| Calm | 51.1% |
| Angry | 6.6% |
| Sad | 22.3% |
| Confused | 5.2% |
AWS Rekognition
| Age | 17-27 |
| Gender | Male, 61.7% |
| Confused | 6.7% |
| Surprised | 2.5% |
| Happy | 0.8% |
| Angry | 5.3% |
| Disgusted | 2.3% |
| Sad | 11.6% |
| Calm | 70.8% |
Microsoft Cognitive Services
| Age | 36 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 29 |
| 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 | Very unlikely |
| Joy | Possible |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 97.6% | |
Captions
Microsoft
| a man and a woman taking a selfie | 62.1% | |
| a person standing in front of a building | 62% | |
| a man and a woman standing in front of a building | 61.9% | |
Text analysis
Amazon
