Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 22-34 |
| Gender | Male, 86% |
| Angry | 0.1% |
| Happy | 0.1% |
| Surprised | 0.1% |
| Disgusted | 0% |
| Calm | 78.3% |
| Fear | 0.1% |
| Sad | 21.2% |
| Confused | 0.1% |
AWS Rekognition
| Age | 48-66 |
| Gender | Female, 78.1% |
| Calm | 85.1% |
| Disgusted | 0.4% |
| Sad | 10.6% |
| Fear | 0.2% |
| Confused | 0.5% |
| Happy | 0.9% |
| Surprised | 0.8% |
| Angry | 1.4% |
Microsoft Cognitive Services
| Age | 69 |
| Gender | Female |
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 | Unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| people portraits | 51.5% | |
| paintings art | 33.1% | |
| events parties | 8.1% | |
| streetview architecture | 4.8% | |
Captions
Microsoft
created on 2019-11-10
| a vintage photo of a person | 89.2% | |
| a vintage photo of a person | 89.1% | |
| a vintage photo of a boy | 71.3% | |
Text analysis
Amazon
