Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 17-29 |
| Gender | Female, 97.9% |
| Calm | 84.2% |
| Sad | 5.7% |
| Angry | 5.4% |
| Happy | 3% |
| Disgusted | 0.7% |
| Surprised | 0.4% |
| Confused | 0.3% |
| Fear | 0.3% |
AWS Rekognition
| Age | 28-44 |
| Gender | Female, 97.3% |
| Calm | 75.6% |
| Surprised | 6.2% |
| Sad | 6% |
| Happy | 5.4% |
| Angry | 4.5% |
| Disgusted | 0.9% |
| Confused | 0.9% |
| Fear | 0.4% |
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 | 70.5% | |
Categories
Imagga
| nature landscape | 40.7% | |
| streetview architecture | 40.3% | |
| paintings art | 16.8% | |
Captions
Microsoft
created on 2021-12-14
| text, engineering drawing | 90.2% | |
Text analysis
Amazon
