Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 5-15 |
| Gender | Male, 55.4% |
| Sad | 15.2% |
| Confused | 2.8% |
| Surprised | 1.4% |
| Angry | 1.1% |
| Calm | 36.6% |
| Fear | 1.6% |
| Disgusted | 3% |
| Happy | 38.4% |
AWS Rekognition
| Age | 23-35 |
| Gender | Female, 65% |
| Happy | 2.4% |
| Surprised | 3.6% |
| Calm | 10.2% |
| Fear | 8.1% |
| Sad | 7.3% |
| Disgusted | 2.6% |
| Confused | 1.9% |
| Angry | 64% |
Microsoft Cognitive Services
| Age | 4 |
| 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 | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 99.2% | |
Captions
Microsoft
| a person standing in front of a whiteboard | 57.9% | |
| a close up of a whiteboard | 57.8% | |
| a close up of text on a whiteboard | 55.3% | |
Text analysis
Amazon
