Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 51.8% |
| Calm | 45% |
| Sad | 55% |
| Confused | 45% |
| Disgusted | 45% |
| Happy | 45% |
| Surprised | 45% |
| Angry | 45% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 54.5% |
| Surprised | 45.1% |
| Calm | 45.3% |
| Sad | 52.7% |
| Disgusted | 45.1% |
| Angry | 45.3% |
| Happy | 46.6% |
| Confused | 45.1% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 52.2% |
| Sad | 45.2% |
| Happy | 45.2% |
| Disgusted | 45.1% |
| Surprised | 45.2% |
| Angry | 45.5% |
| Confused | 45.2% |
| Calm | 53.6% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 50.8% |
| Surprised | 45.3% |
| Confused | 45.2% |
| Happy | 45.1% |
| Sad | 46.8% |
| Angry | 50.9% |
| Disgusted | 45.1% |
| Calm | 46.5% |
Microsoft Cognitive Services
| Age | 44 |
| Gender | Male |
Feature analysis
Categories
Imagga
Captions
Microsoft
created on 2018-04-19
| a vintage photo of a person | 82.5% | |
| a vintage photo of a person | 82.4% | |
| a bag of luggage sitting on top of a book | 19.1% | |