Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 60-90 |
| Gender | Male, 59.9% |
| Surprised | 4.7% |
| Calm | 17.7% |
| Sad | 14.6% |
| Disgusted | 5.7% |
| Angry | 7.6% |
| Happy | 44.1% |
| Confused | 5.6% |
AWS Rekognition
| Age | 45-66 |
| Gender | Male, 51.4% |
| Surprised | 45.2% |
| Calm | 45.1% |
| Sad | 49.8% |
| Disgusted | 45.7% |
| Angry | 45.6% |
| Happy | 48.3% |
| Confused | 45.3% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 50.2% |
| Disgusted | 49.5% |
| Surprised | 49.5% |
| Angry | 49.5% |
| Happy | 49.7% |
| Calm | 49.5% |
| Sad | 50.1% |
| Confused | 49.5% |
Microsoft Cognitive Services
| Age | 69 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
Captions
Microsoft
created on 2018-04-19
| a vintage photo of a person holding a book | 73.9% | |
| a vintage photo of a person | 73.8% | |
| a vintage photo of a person | 73.7% | |
Text analysis
Amazon
