Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 12-22 |
| Gender | Male, 53.4% |
| Angry | 45.4% |
| Confused | 45.2% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
| Calm | 45.2% |
| Sad | 54% |
| Happy | 45% |
AWS Rekognition
| Age | 20-38 |
| Gender | Female, 53% |
| Calm | 45.7% |
| Angry | 45.3% |
| Disgusted | 45.1% |
| Surprised | 45.3% |
| Happy | 45.3% |
| Confused | 45.3% |
| Sad | 53% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 51.6% |
| Calm | 46.5% |
| Disgusted | 46.5% |
| Sad | 47.1% |
| Happy | 46.1% |
| Surprised | 45.9% |
| Angry | 46.2% |
| Confused | 46.8% |
AWS Rekognition
| Age | 11-18 |
| Gender | Female, 53.2% |
| Angry | 45.9% |
| Surprised | 46% |
| Confused | 46.5% |
| Sad | 48.5% |
| Disgusted | 45.1% |
| Happy | 45% |
| Calm | 48% |
AWS Rekognition
| Age | 15-25 |
| Gender | Male, 52.7% |
| Angry | 45.9% |
| Calm | 50% |
| Sad | 48.2% |
| Confused | 45.3% |
| Disgusted | 45.1% |
| Surprised | 45.4% |
| Happy | 45.2% |
AWS Rekognition
| Age | 16-27 |
| Gender | Male, 50.1% |
| Confused | 49.5% |
| Sad | 49.8% |
| Happy | 49.6% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Angry | 49.6% |
| Calm | 49.8% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 55% |
| Calm | 48.6% |
| Happy | 45.4% |
| Surprised | 46.6% |
| Disgusted | 45.2% |
| Sad | 46.3% |
| Angry | 45.2% |
| Confused | 47.7% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 50.1% |
| Surprised | 49.5% |
| Happy | 49.5% |
| Sad | 50% |
| Confused | 49.5% |
| Disgusted | 49.5% |
| Angry | 49.6% |
| Calm | 49.8% |
Feature analysis
Categories
Imagga
| interior objects | 98.3% | |
Captions
Microsoft
created on 2019-06-07
| a group of people in a room | 82.4% | |
| a group of people sitting at a table in a room | 59.9% | |
| a group of people standing in a room | 59.8% | |
Text analysis
Amazon
