Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-31 |
| Gender | Female, 83% |
| Angry | 66% |
| Calm | 17.6% |
| Surprised | 11.3% |
| Sad | 2.4% |
| Disgusted | 1.1% |
| Confused | 0.8% |
| Happy | 0.6% |
| Fear | 0.2% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 99.5% |
| Confused | 96.3% |
| Calm | 2.3% |
| Surprised | 0.9% |
| Fear | 0.2% |
| Angry | 0.1% |
| Happy | 0% |
| Disgusted | 0% |
| Sad | 0% |
AWS Rekognition
| Age | 36-44 |
| Gender | Male, 99.9% |
| Calm | 98.2% |
| Confused | 0.7% |
| Sad | 0.4% |
| Surprised | 0.3% |
| Angry | 0.1% |
| Happy | 0.1% |
| Fear | 0.1% |
| Disgusted | 0.1% |
Feature analysis
Categories
Imagga
| people portraits | 84.5% | |
| interior objects | 5.7% | |
| events parties | 5.1% | |
| pets animals | 2.3% | |
| food drinks | 1% | |
Captions
Microsoft
created on 2022-03-05
| a group of people sitting at a table | 33% | |
| a group of people sitting around a table | 32% | |
| a group of people sitting in a chair | 31.9% | |
Text analysis
Amazon
