Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 48-54 |
| Gender | Male, 97% |
| Happy | 95.2% |
| Surprised | 8.2% |
| Fear | 5.9% |
| Sad | 2.2% |
| Calm | 1.1% |
| Disgusted | 0.1% |
| Confused | 0.1% |
| Angry | 0% |
AWS Rekognition
| Age | 30-40 |
| Gender | Female, 78% |
| Happy | 79.9% |
| Fear | 9.4% |
| Surprised | 7.7% |
| Calm | 4.6% |
| Sad | 2.6% |
| Angry | 1.6% |
| Disgusted | 1.5% |
| Confused | 1.1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 69.6% | |
| interior objects | 14.5% | |
| food drinks | 8.2% | |
| text visuals | 5.2% | |
| streetview architecture | 2.2% | |
Captions
Microsoft
created on 2023-10-05
| a group of people posing for a photo | 97.9% | |
| a group of people posing for the camera | 97.8% | |
| a group of people posing for a picture | 97.7% | |
Text analysis
Amazon
