Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 16-24 |
| Gender | Female, 99.9% |
| Fear | 99% |
| Calm | 0.5% |
| Angry | 0.1% |
| Sad | 0.1% |
| Surprised | 0.1% |
| Confused | 0.1% |
| Disgusted | 0% |
| Happy | 0% |
AWS Rekognition
| Age | 37-45 |
| Gender | Female, 93.1% |
| Sad | 94.7% |
| Calm | 2.1% |
| Confused | 1.7% |
| Fear | 0.4% |
| Disgusted | 0.3% |
| Surprised | 0.3% |
| Angry | 0.3% |
| Happy | 0.2% |
Microsoft Cognitive Services
| Age | 7 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| 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 group of people in a pot | 72.1% | |
| a group of women cooking in a kitchen | 61.5% | |
| a group of people standing on top of a stove | 48.6% | |
Text analysis
Amazon
