Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 27-44 |
| Gender | Female, 78.3% |
| Angry | 31.6% |
| Disgusted | 2.2% |
| Happy | 0.7% |
| Confused | 14.1% |
| Sad | 1.4% |
| Surprised | 14.8% |
| Calm | 35.3% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 83.6% |
| Happy | 1.1% |
| Surprised | 46.1% |
| Sad | 4.2% |
| Confused | 5.2% |
| Calm | 11.2% |
| Angry | 18.7% |
| Disgusted | 13.6% |
AWS Rekognition
| Age | 12-22 |
| Gender | Female, 70.1% |
| Sad | 18.5% |
| Disgusted | 2.8% |
| Calm | 16.4% |
| Angry | 5.2% |
| Happy | 4.4% |
| Confused | 3% |
| Surprised | 49.7% |
Microsoft Cognitive Services
| Age | 6 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Likely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 93% | |
Captions
Microsoft
| a close up of text on a black background | 41.6% | |
| a close up of text on a white background | 41.5% | |
| a close up of text on a black surface | 41.4% | |