Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.6% |
| Surprised | 45.1% |
| Disgusted | 45% |
| Angry | 45% |
| Sad | 45.8% |
| Confused | 45% |
| Calm | 54% |
| Happy | 45% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 50.8% |
| Angry | 53.7% |
| Sad | 45.4% |
| Confused | 45% |
| Disgusted | 45.1% |
| Surprised | 45.1% |
| Happy | 45.6% |
| Calm | 45% |
AWS Rekognition
| Age | 26-43 |
| Gender | Male, 54% |
| Disgusted | 45.1% |
| Calm | 50.1% |
| Sad | 47.3% |
| Angry | 46.2% |
| Confused | 45.3% |
| Surprised | 45.4% |
| Happy | 45.5% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 54.6% |
| Disgusted | 46.2% |
| Confused | 46.1% |
| Calm | 48.2% |
| Sad | 46.2% |
| Angry | 46.5% |
| Happy | 45.8% |
| Surprised | 46% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 54.3% |
| Angry | 49.5% |
| Disgusted | 45% |
| Confused | 45% |
| Sad | 45.4% |
| Surprised | 45.1% |
| Calm | 49.9% |
| Happy | 45% |
AWS Rekognition
| Age | 35-52 |
| Gender | Female, 51% |
| Calm | 50.6% |
| Happy | 45.2% |
| Angry | 45.3% |
| Confused | 45.2% |
| Sad | 48.5% |
| Disgusted | 45.1% |
| Surprised | 45.2% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 53% |
| Angry | 49.5% |
| Happy | 45.4% |
| Sad | 48.8% |
| Disgusted | 45.2% |
| Calm | 45.7% |
| Surprised | 45.2% |
| Confused | 45.2% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 54.3% |
| Surprised | 45.2% |
| Calm | 50.1% |
| Sad | 45.4% |
| Angry | 46.9% |
| Happy | 47.3% |
| Disgusted | 45.1% |
| Confused | 45.1% |
Feature analysis
Categories
Imagga
| beaches seaside | 64.6% | |
| paintings art | 27.2% | |
| streetview architecture | 5.6% | |
| nature landscape | 1.9% | |
| food drinks | 0.2% | |
| text visuals | 0.1% | |
| macro flowers | 0.1% | |
| cars vehicles | 0.1% | |
| people portraits | 0.1% | |
Captions
Microsoft
created on 2018-03-16
| a group of people posing for a photo | 94.4% | |
| a group of people posing for the camera | 94.3% | |
| an old photo of a group of people posing for the camera | 92.2% | |
Text analysis
Amazon
