Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 38-56 |
| Gender | Female, 94.9% |
| Sad | 57.6% |
| Calm | 19.8% |
| Angry | 12.6% |
| Disgusted | 4.1% |
| Fear | 3.3% |
| Confused | 0.9% |
| Surprised | 0.9% |
| Happy | 0.8% |
AWS Rekognition
| Age | 26-40 |
| Gender | Female, 65.2% |
| Calm | 66.3% |
| Sad | 15.2% |
| Angry | 11.4% |
| Confused | 2.7% |
| Surprised | 1.5% |
| Happy | 1.4% |
| Disgusted | 0.9% |
| Fear | 0.7% |
AWS Rekognition
| Age | 39-57 |
| Gender | Female, 97.5% |
| Calm | 75.8% |
| Sad | 9.7% |
| Happy | 5.9% |
| Surprised | 2.3% |
| Confused | 1.8% |
| Disgusted | 1.7% |
| Angry | 1.5% |
| Fear | 1.3% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| nature landscape | 77.1% | |
| food drinks | 22.4% | |
Captions
Microsoft
created on 2021-12-14
| a group of people in a field | 68.5% | |
| a group of people on a field | 66.8% | |
| a group of people sitting in a field | 58.5% | |
Text analysis
Amazon
