Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-42 |
| Gender | Female, 99.5% |
| Fear | 65.6% |
| Confused | 3.3% |
| Happy | 0.3% |
| Calm | 8.6% |
| Surprised | 12.8% |
| Sad | 8.4% |
| Angry | 0.8% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 30-46 |
| Gender | Male, 89.7% |
| Surprised | 0.1% |
| Fear | 0% |
| Angry | 0.3% |
| Disgusted | 0% |
| Sad | 0.7% |
| Calm | 97.3% |
| Happy | 1.4% |
| Confused | 0.1% |
AWS Rekognition
| Age | 16-28 |
| Gender | Male, 75.3% |
| Calm | 16.4% |
| Sad | 73.9% |
| Fear | 2.6% |
| Confused | 3.2% |
| Angry | 2.5% |
| Happy | 0.7% |
| Disgusted | 0.2% |
| Surprised | 0.4% |
Microsoft Cognitive Services
| Age | 24 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a vintage photo of a person | 86% | |
| a vintage photo of a group of people posing for the camera | 72.1% | |
| an old photo of a person | 72% | |
Text analysis
Amazon
