Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 33-49 |
| Gender | Male, 90.7% |
| Happy | 0.6% |
| Angry | 66.5% |
| Fear | 5.1% |
| Surprised | 3.3% |
| Calm | 5.5% |
| Sad | 2.4% |
| Disgusted | 14.8% |
| Confused | 2% |
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 54.6% |
| Sad | 3.7% |
| Calm | 90.8% |
| Confused | 0.5% |
| Surprised | 0.7% |
| Happy | 1.1% |
| Disgusted | 1.2% |
| Angry | 1.3% |
| Fear | 0.7% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 90.2% | |
Categories
Imagga
| paintings art | 86.3% | |
| interior objects | 10.1% | |
| food drinks | 2.9% | |
Captions
Microsoft
created on 2019-11-09
| a vintage photo of a person | 68.4% | |
| a vintage photo of a person holding a book | 29.4% | |
| a vintage photo of a person | 29.3% | |
Text analysis
Amazon
