Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 22-34 |
| Gender | Female, 50.9% |
| Sad | 51.2% |
| Happy | 39.9% |
| Calm | 4.8% |
| Fear | 2.1% |
| Angry | 1.7% |
| Confused | 0.1% |
| Surprised | 0.1% |
| Disgusted | 0% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| cars vehicles | 63.7% | |
| nature landscape | 22.6% | |
| beaches seaside | 13.3% | |
Captions
Microsoft
created on 2021-11-24
| a person riding on the back of a boat | 64.3% | |
| a person sitting on a boat | 64.2% | |
| a person sitting on a boat in the water | 64.1% | |
Text analysis
