Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 28-38 |
| Gender | Male, 99.8% |
| Angry | 65.6% |
| Surprised | 31.7% |
| Fear | 6% |
| Happy | 4.4% |
| Calm | 4% |
| Sad | 2.7% |
| Confused | 0.8% |
| Disgusted | 0.7% |
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 94.5% |
| Happy | 65.9% |
| Fear | 13.7% |
| Surprised | 10% |
| Confused | 4.4% |
| Disgusted | 3.1% |
| Sad | 3% |
| Calm | 2.7% |
| Angry | 1.7% |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.5% | |
Categories
Imagga
| food drinks | 59.7% | |
| paintings art | 28.1% | |
| people portraits | 6.8% | |
| interior objects | 2.9% | |
| pets animals | 1.7% | |