Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 66.1% |
| Angry | 7.7% |
| Calm | 64.1% |
| Happy | 3.6% |
| Disgusted | 13.3% |
| Surprised | 4.5% |
| Sad | 2.5% |
| Confused | 4.3% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 58.8% |
| Angry | 1.8% |
| Calm | 71.6% |
| Happy | 1.6% |
| Disgusted | 1.3% |
| Surprised | 2.1% |
| Sad | 19% |
| Confused | 2.7% |
Microsoft Cognitive Services
| Age | 54 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 60.9% | |
| pets animals | 21.1% | |
| streetview architecture | 13.3% | |
| people portraits | 2.5% | |
| nature landscape | 1.2% | |
| interior objects | 0.8% | |
| food drinks | 0.1% | |
| text visuals | 0.1% | |