Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 1-7 |
| Gender | Male, 51.9% |
| Confused | 0.2% |
| Sad | 0.6% |
| Angry | 0.6% |
| Happy | 1.8% |
| Disgusted | 2.2% |
| Calm | 92.9% |
| Surprised | 1.4% |
| Fear | 0.3% |
AWS Rekognition
| Age | 18-30 |
| Gender | Female, 98.8% |
| Calm | 97.7% |
| Angry | 0.1% |
| Fear | 0% |
| Surprised | 0.2% |
| Happy | 1.5% |
| Sad | 0.2% |
| Confused | 0.1% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 37-55 |
| Gender | Male, 89.7% |
| Sad | 0.6% |
| Calm | 98.2% |
| Surprised | 0% |
| Angry | 1% |
| Fear | 0% |
| Happy | 0.1% |
| Confused | 0.1% |
| Disgusted | 0% |
Microsoft Cognitive Services
| Age | 22 |
| Gender | Female |
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 black and white photo of a girl | 70.3% | |
| a black and white photo of a person | 70.2% | |
| a girl posing for a photo | 70.1% | |
Text analysis
Amazon
