Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 53-61 |
| Gender | Female, 59.9% |
| Calm | 71.2% |
| Surprised | 22.3% |
| Sad | 1.8% |
| Angry | 1.4% |
| Confused | 1.1% |
| Disgusted | 1% |
| Happy | 0.6% |
| Fear | 0.5% |
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 92.1% |
| Calm | 99.5% |
| Sad | 0.3% |
| Confused | 0.1% |
| Happy | 0% |
| Disgusted | 0% |
| Fear | 0% |
| Surprised | 0% |
| Angry | 0% |
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 99% |
| Calm | 91.2% |
| Sad | 5.4% |
| Happy | 0.8% |
| Disgusted | 0.7% |
| Fear | 0.6% |
| Angry | 0.5% |
| Confused | 0.4% |
| Surprised | 0.4% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| interior objects | 62.9% | |
| food drinks | 18.3% | |
| text visuals | 7.1% | |
| paintings art | 3.5% | |
| nature landscape | 2% | |
| macro flowers | 1.9% | |
| cars vehicles | 1.7% | |
| events parties | 1.3% | |
Captions
Text analysis
