Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54.8% |
| Confused | 45.1% |
| Surprised | 45.1% |
| Sad | 45.2% |
| Angry | 45.5% |
| Happy | 45.1% |
| Calm | 54% |
| Disgusted | 45% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 50.3% |
| Sad | 49.7% |
| Angry | 49.8% |
| Calm | 49.8% |
| Confused | 49.6% |
| Disgusted | 49.7% |
| Happy | 49.5% |
| Surprised | 49.5% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 50.3% |
| Angry | 49.7% |
| Happy | 49.6% |
| Confused | 49.5% |
| Calm | 49.6% |
| Surprised | 49.5% |
| Sad | 49.9% |
| Disgusted | 49.6% |
Feature analysis
Amazon
| Person | 98.5% | |
Categories
Imagga
| cars vehicles | 79.6% | |
| streetview architecture | 12.8% | |
| paintings art | 3% | |
| interior objects | 2% | |
| nature landscape | 1.3% | |
Captions
Microsoft
created on 2019-05-31
| a black and white photo of a metal rail | 77.8% | |
| a black and white photo of a metal fence | 77.7% | |
| a close up of a metal rail | 77.6% | |
Text analysis
Amazon
