Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 96.4% |
| Calm | 98.6% |
| Surprised | 0.4% |
| Sad | 0.3% |
| Confused | 0.2% |
| Fear | 0.2% |
| Angry | 0.2% |
| Disgusted | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 41-49 |
| Gender | Male, 99.9% |
| Calm | 99.6% |
| Angry | 0.1% |
| Disgusted | 0.1% |
| Sad | 0.1% |
| Happy | 0% |
| Confused | 0% |
| Fear | 0% |
| Surprised | 0% |
Microsoft Cognitive Services
| Age | 32 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very 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
Amazon
| Person | 99.3% | |
Captions
Microsoft
| an old photo of a person | 70.2% | |
| old photo of a person | 66.4% | |
| an old photo of a person in a room | 66.3% | |
Text analysis
Amazon
