Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 16-24 |
| Gender | Female, 100% |
| Calm | 70% |
| Sad | 10.4% |
| Happy | 8.3% |
| Surprised | 7.1% |
| Fear | 6% |
| Confused | 5.6% |
| Angry | 1.5% |
| Disgusted | 0.8% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 98.5% |
| Fear | 68.8% |
| Calm | 29.2% |
| Surprised | 8.3% |
| Angry | 4% |
| Sad | 3.7% |
| Confused | 2.6% |
| Disgusted | 1.9% |
| Happy | 1.8% |
Microsoft Cognitive Services
| Age | 22 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | 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
Amazon
Categories
Imagga
| food drinks | 44.3% | |
| paintings art | 31.2% | |
| interior objects | 18.7% | |
| cars vehicles | 3.3% | |
Captions
Microsoft
created on 2023-01-11
| a vintage photo of a bedroom next to a window | 87.5% | |
| a vintage photo of a bed | 87.4% | |
| a vintage photo of a bed next to a window | 85.1% | |
Text analysis
