Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 26-36 |
| Gender | Male, 98.2% |
| Sad | 99.9% |
| Calm | 8.9% |
| Confused | 8.2% |
| Surprised | 7.5% |
| Angry | 7.1% |
| Fear | 6.1% |
| Disgusted | 0.7% |
| Happy | 0.2% |
AWS Rekognition
| Age | 27-37 |
| Gender | Male, 79.7% |
| Calm | 44.2% |
| Surprised | 29.7% |
| Fear | 10.9% |
| Confused | 8.9% |
| Sad | 7.5% |
| Disgusted | 2.6% |
| Angry | 2.3% |
| Happy | 1.5% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.9% | |
Categories
Imagga
| paintings art | 80.1% | |
| food drinks | 10.1% | |
| interior objects | 7.9% | |
Captions
Microsoft
created on 2022-08-12
| a close up of a sign | 79.9% | |
| close up of a sign | 75.3% | |
| a sign on a wall | 63.6% | |
Text analysis
Amazon
