Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 14-22 |
| Gender | Female, 50.6% |
| Disgusted | 72.3% |
| Sad | 15.1% |
| Surprised | 6.6% |
| Fear | 6.1% |
| Confused | 5.5% |
| Angry | 4.7% |
| Calm | 1.2% |
| Happy | 0.2% |
AWS Rekognition
| Age | 23-31 |
| Gender | Female, 57.3% |
| Sad | 81.9% |
| Calm | 32.1% |
| Disgusted | 11.6% |
| Surprised | 10.8% |
| Confused | 6.5% |
| Fear | 6.1% |
| Angry | 2.7% |
| Happy | 2.4% |
Microsoft Cognitive Services
| Age | 50 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 80.4% | |
| nature landscape | 16.1% | |
| cars vehicles | 1.2% | |
| streetview architecture | 1.1% | |
Captions
Microsoft
created on 2018-05-10
| a vintage photo of a man | 90.1% | |
| a vintage photo of a man riding on the back of a motorcycle | 47.5% | |
| a vintage photo of a man riding a motorcycle | 47.4% | |
Text analysis
Amazon
