Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 37-45 |
| Gender | Male, 67% |
| Happy | 56.1% |
| Calm | 24.5% |
| Sad | 7.3% |
| Surprised | 4.1% |
| Confused | 3% |
| Disgusted | 2.1% |
| Fear | 1.9% |
| Angry | 1.1% |
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 90.1% |
| Sad | 77% |
| Disgusted | 7.9% |
| Calm | 4.4% |
| Fear | 3.1% |
| Happy | 2.8% |
| Surprised | 2.6% |
| Confused | 1.2% |
| Angry | 1% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| nature landscape | 44.5% | |
| streetview architecture | 27.2% | |
| pets animals | 11.8% | |
| paintings art | 10.6% | |
| beaches seaside | 3.2% | |
Captions
Microsoft
created on 2022-01-30
| a group of people standing in front of a mirror posing for the camera | 31.3% | |
| a group of people standing in front of a mirror | 31.2% | |
| a group of people in front of a mirror posing for the camera | 31.1% | |
Text analysis
Amazon
