Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 1-7 |
| Gender | Female, 54.3% |
| Disgusted | 0.1% |
| Angry | 0.3% |
| Fear | 0% |
| Confused | 0.2% |
| Happy | 0% |
| Calm | 98.7% |
| Surprised | 0.5% |
| Sad | 0.1% |
AWS Rekognition
| Age | 9-19 |
| Gender | Female, 93.6% |
| Disgusted | 0% |
| Surprised | 0% |
| Calm | 100% |
| Sad | 0% |
| Happy | 0% |
| Angry | 0% |
| Confused | 0% |
| Fear | 0% |
AWS Rekognition
| Age | 15-27 |
| Gender | Female, 99.2% |
| Sad | 4.2% |
| Disgusted | 0.3% |
| Angry | 0.5% |
| Confused | 0.6% |
| Fear | 0.7% |
| Surprised | 5% |
| Happy | 0.5% |
| Calm | 88.1% |
Microsoft Cognitive Services
| Age | 26 |
| 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
| an old photo of a room | 62.6% | |
| an old photo of a person | 55.3% | |
| an old photo of a person in a room | 55.2% | |
Text analysis
Amazon
