Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 97.8% |
| Happy | 2.7% |
| Disgusted | 6.5% |
| Confused | 37.1% |
| Sad | 5.5% |
| Calm | 19.1% |
| Angry | 22.6% |
| Surprised | 6.5% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 96.5% |
| Angry | 5.6% |
| Surprised | 2.4% |
| Sad | 7.1% |
| Disgusted | 0.5% |
| Calm | 69.2% |
| Happy | 6.9% |
| Confused | 8.2% |
Microsoft Cognitive Services
| Age | 39 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 45 |
| Gender | Male |
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 | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a vintage photo of a person | 93.1% | |
| a black and white photo of a person | 90.4% | |
| a vintage photo of a girl | 85.3% | |