Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 24-34 |
| Gender | Male, 99.4% |
| Disgusted | 59.9% |
| Sad | 49% |
| Surprised | 8.5% |
| Fear | 6.7% |
| Angry | 2.8% |
| Confused | 2.2% |
| Calm | 1.6% |
| Happy | 1.1% |
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 94% |
| Calm | 83.8% |
| Disgusted | 7.1% |
| Surprised | 6.5% |
| Fear | 6.1% |
| Sad | 3.1% |
| Confused | 2.4% |
| Happy | 1.6% |
| Angry | 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
| cars vehicles | 62.6% | |
| interior objects | 29.6% | |
| food drinks | 3.4% | |
| paintings art | 2.1% | |
| streetview architecture | 1.7% | |
Captions
Microsoft
created on 2022-06-04
| a vintage photo of a living room | 79.6% | |
| a vintage photo of some people in a room | 79.5% | |
| a vintage photo of a person in a room | 79.4% | |
Text analysis
Amazon
