Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 99.9% |
| Disgusted | 2.2% |
| Confused | 7.9% |
| Happy | 0.4% |
| Angry | 7.5% |
| Calm | 76.3% |
| Surprised | 2% |
| Sad | 3.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 80.7% |
| Calm | 36.9% |
| Angry | 12.6% |
| Confused | 6.1% |
| Disgusted | 8.4% |
| Surprised | 13% |
| Happy | 11.8% |
| Sad | 11.1% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 95.6% |
| Confused | 3% |
| Surprised | 2% |
| Disgusted | 1.8% |
| Sad | 4.6% |
| Happy | 2.3% |
| Angry | 4.6% |
| Calm | 81.6% |
Microsoft Cognitive Services
| Age | 39 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.3% | |
Categories
Imagga
| people portraits | 91.6% | |
| paintings art | 3.8% | |
| food drinks | 2.8% | |
| events parties | 1.3% | |
| pets animals | 0.4% | |
| interior objects | 0.1% | |
| text visuals | 0.1% | |