Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 53.3% |
| Calm | 45.3% |
| Disgusted | 45.3% |
| Happy | 45.2% |
| Confused | 45.2% |
| Surprised | 45.2% |
| Sad | 52.3% |
| Angry | 46.6% |
AWS Rekognition
| Age | 4-9 |
| Gender | Female, 54.1% |
| Angry | 45.1% |
| Disgusted | 45% |
| Surprised | 45% |
| Calm | 45% |
| Sad | 54.8% |
| Happy | 45% |
| Confused | 45% |
AWS Rekognition
| Age | 4-9 |
| Gender | Female, 52% |
| Confused | 45% |
| Happy | 45% |
| Surprised | 45% |
| Calm | 45.1% |
| Angry | 45.1% |
| Sad | 54.7% |
| Disgusted | 45% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 52.9% |
| Confused | 45.4% |
| Disgusted | 45.4% |
| Calm | 45.6% |
| Sad | 52% |
| Angry | 45.3% |
| Happy | 45.6% |
| Surprised | 45.7% |
AWS Rekognition
| Age | 35-55 |
| Gender | Male, 52.9% |
| Disgusted | 45.7% |
| Confused | 46.7% |
| Happy | 46.6% |
| Sad | 46.1% |
| Surprised | 45.6% |
| Calm | 45.6% |
| Angry | 48.7% |
AWS Rekognition
| Age | 30-47 |
| Gender | Male, 50.5% |
| Calm | 49.6% |
| Surprised | 49.5% |
| Happy | 49.6% |
| Angry | 49.6% |
| Confused | 49.6% |
| Sad | 50.1% |
| Disgusted | 49.6% |
AWS Rekognition
| Age | 29-45 |
| Gender | Male, 54% |
| Sad | 54.6% |
| Confused | 45% |
| Calm | 45.3% |
| Disgusted | 45% |
| Angry | 45% |
| Surprised | 45% |
| Happy | 45% |
AWS Rekognition
| Age | 10-15 |
| Gender | Female, 53.8% |
| Disgusted | 45.7% |
| Happy | 45.4% |
| Angry | 46.1% |
| Calm | 50.6% |
| Surprised | 45.4% |
| Confused | 45.6% |
| Sad | 46.3% |
Feature analysis
Categories
Imagga
| food drinks | 49.1% | |
| interior objects | 21.8% | |
| events parties | 14% | |
| people portraits | 4.7% | |
| paintings art | 3.9% | |
| streetview architecture | 3.7% | |
| pets animals | 1.3% | |
Captions
Microsoft
created on 2019-06-06
| a vintage photo of a group of people in a room | 76.9% | |
| a vintage photo of a group of people in a store | 48.4% | |
| a vintage photo of some people in a room | 48.3% | |
Text analysis
Amazon
