Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 99.7% |
| Sad | 15.6% |
| Disgusted | 4.1% |
| Angry | 8.9% |
| Calm | 22.3% |
| Surprised | 7.2% |
| Happy | 30.4% |
| Confused | 11.5% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 92.5% | |
Categories
Imagga
| text visuals | 46.5% | |
| pets animals | 25.8% | |
| interior objects | 15.4% | |
| nature landscape | 3.4% | |
| cars vehicles | 3.3% | |
| food drinks | 2.4% | |
| beaches seaside | 1.3% | |
| streetview architecture | 0.7% | |
| events parties | 0.5% | |
| paintings art | 0.4% | |
| people portraits | 0.3% | |
| macro flowers | 0.1% | |
| sunrises sunsets | 0.1% | |
Captions
Microsoft
created on 2018-02-10
| a screenshot of a cell phone | 86.2% | |
| a screenshot of a social media post | 86.1% | |
| a screenshot from a cell phone | 78.2% | |
Text analysis
Amazon
