Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-30 |
| Gender | Female, 66.6% |
| Surprised | 86.9% |
| Calm | 4.9% |
| Fear | 3.4% |
| Sad | 3.3% |
| Happy | 0.6% |
| Disgusted | 0.5% |
| Angry | 0.4% |
| Confused | 0.1% |
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
Categories
Imagga
| food drinks | 53.8% | |
| people portraits | 19.7% | |
| interior objects | 13.6% | |
| events parties | 9.8% | |
| cars vehicles | 1.3% | |
| paintings art | 1.1% | |
Captions
Microsoft
created on 2022-01-15
| a man and a woman sitting at a table | 70% | |
| a man and a woman sitting on a table | 52.3% | |
| a man and woman sitting at a table | 52.2% | |
Text analysis
Amazon
