Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 21-29 |
| Gender | Male, 99.5% |
| Calm | 86% |
| Happy | 9.8% |
| Sad | 1.5% |
| Angry | 1.4% |
| Confused | 0.4% |
| Surprised | 0.3% |
| Fear | 0.3% |
| Disgusted | 0.3% |
AWS Rekognition
| Age | 26-36 |
| Gender | Female, 77.7% |
| Calm | 90.6% |
| Fear | 4.1% |
| Disgusted | 1.7% |
| Confused | 1.2% |
| Sad | 0.9% |
| Happy | 0.9% |
| Surprised | 0.3% |
| Angry | 0.3% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| interior objects | 61.8% | |
| streetview architecture | 38.1% | |
Captions
Microsoft
created on 2022-01-09
| a store front at day | 95% | |
| a sign above a store | 94.9% | |
| a sign in front of a store | 92.1% | |
Text analysis
Amazon
