Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 41-49 |
| Gender | Male, 100% |
| Calm | 79.8% |
| Fear | 12.5% |
| Sad | 5.2% |
| Confused | 0.7% |
| Surprised | 0.7% |
| Angry | 0.5% |
| Disgusted | 0.5% |
| Happy | 0.2% |
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 82.1% |
| Calm | 99% |
| Sad | 0.2% |
| Surprised | 0.2% |
| Disgusted | 0.2% |
| Fear | 0.2% |
| Angry | 0.2% |
| Confused | 0.1% |
| Happy | 0.1% |
Microsoft Cognitive Services
| Age | 44 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Likely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 96% | |
Categories
Imagga
| interior objects | 46% | |
| paintings art | 33.6% | |
| food drinks | 6.2% | |
| events parties | 5.9% | |
| macro flowers | 3.4% | |
| text visuals | 3.3% | |