Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 99.8% |
| Sad | 55.5% |
| Confused | 4.4% |
| Disgusted | 11.3% |
| Angry | 5.4% |
| Calm | 16.5% |
| Surprised | 2.2% |
| Happy | 4.7% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 60.6% |
| Happy | 0.3% |
| Surprised | 0.4% |
| Sad | 89.1% |
| Angry | 1.5% |
| Calm | 1.5% |
| Disgusted | 0.5% |
| Confused | 6.8% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 95.9% |
| Disgusted | 0.2% |
| Happy | 0.3% |
| Confused | 0.9% |
| Sad | 63% |
| Calm | 32.4% |
| Surprised | 0.6% |
| Angry | 2.6% |
Microsoft Cognitive Services
| Age | 29 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Likely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 99.4% | |
Captions
Microsoft
created on 2019-07-30
| a vintage photo of a person | 88.1% | |
| a vintage photo of a person holding a book | 63.5% | |
| a vintage photo of a person | 63.4% | |
Text analysis
Amazon
