Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 49-67 |
| Gender | Female, 60.6% |
| Fear | 55.1% |
| Sad | 16.3% |
| Confused | 8.7% |
| Surprised | 7.6% |
| Calm | 5.7% |
| Disgusted | 2.8% |
| Angry | 2.4% |
| Happy | 1.3% |
AWS Rekognition
| Age | 31-47 |
| Gender | Female, 77% |
| Calm | 69.4% |
| Surprised | 20.1% |
| Sad | 3.8% |
| Confused | 2.6% |
| Fear | 1.9% |
| Happy | 1.3% |
| Disgusted | 0.6% |
| Angry | 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
Categories
Imagga
| interior objects | 55% | |
| cars vehicles | 17.8% | |
| food drinks | 8.6% | |
| streetview architecture | 5.9% | |
| paintings art | 4.2% | |
| nature landscape | 2.9% | |
| beaches seaside | 2% | |
| events parties | 1.3% | |
| text visuals | 1.2% | |
Captions
Microsoft
created on 2021-12-14
| calendar | 69.7% | |
Text analysis
Amazon
