Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 40-58 |
| Gender | Female, 62.3% |
| Calm | 81.2% |
| Happy | 4.4% |
| Surprised | 3.8% |
| Sad | 3.8% |
| Fear | 2.1% |
| Angry | 2% |
| Confused | 1.8% |
| Disgusted | 0.9% |
AWS Rekognition
| Age | 21-33 |
| Gender | Female, 66.2% |
| Calm | 90% |
| Sad | 6.3% |
| Happy | 1.4% |
| Confused | 0.8% |
| Surprised | 0.6% |
| Fear | 0.4% |
| Angry | 0.3% |
| Disgusted | 0.2% |
AWS Rekognition
| Age | 51-69 |
| Gender | Male, 86.8% |
| Sad | 85.5% |
| Confused | 3.5% |
| Angry | 3.1% |
| Fear | 3.1% |
| Calm | 2.8% |
| Disgusted | 1% |
| Happy | 0.6% |
| Surprised | 0.4% |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.1% | |
Categories
Imagga
| paintings art | 99.8% | |
Captions
Microsoft
created on 2021-12-15
| a store front at day | 69.5% | |
| an old photo of a store | 62% | |
| a person standing in front of a store | 31.1% | |
Text analysis
Amazon
