Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 29-39 |
| Gender | Female, 65.1% |
| Calm | 83.9% |
| Happy | 8.1% |
| Fear | 2% |
| Disgusted | 1.7% |
| Confused | 1.4% |
| Angry | 1.1% |
| Sad | 1% |
| Surprised | 0.8% |
AWS Rekognition
| Age | 41-49 |
| Gender | Female, 92.6% |
| Happy | 95.6% |
| Calm | 1.7% |
| Surprised | 0.8% |
| Sad | 0.7% |
| Angry | 0.6% |
| Confused | 0.3% |
| Disgusted | 0.2% |
| Fear | 0.1% |
Microsoft Cognitive Services
| Age | 48 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Possible |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.9% | |
Categories
Imagga
| interior objects | 100% | |
Captions
Microsoft
| a stack of flyers on a table | 65.6% | |
| a stack of brochures on a table | 60.5% | |
| a close up of text on a desk | 44.4% | |
Text analysis
Amazon
