Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 23-38 |
| Gender | Female, 64.9% |
| Confused | 6% |
| Calm | 42.8% |
| Sad | 22.6% |
| Disgusted | 4.7% |
| Happy | 0.9% |
| Angry | 14% |
| Surprised | 9% |
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 68% |
| Angry | 9.2% |
| Disgusted | 6.8% |
| Calm | 22.7% |
| Confused | 7.2% |
| Happy | 1.7% |
| Surprised | 4.1% |
| Sad | 48.3% |
AWS Rekognition
| Age | 19-36 |
| Gender | Female, 58% |
| Sad | 36% |
| Disgusted | 1% |
| Angry | 7.8% |
| Calm | 45.8% |
| Surprised | 4.1% |
| Happy | 0.6% |
| Confused | 4.7% |
Microsoft Cognitive Services
| Age | 43 |
| Gender | Female |
Microsoft Cognitive Services
| Age | 42 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 46 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very likely |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a close up of a book | 54.7% | |
| close up of a book | 48.7% | |
| a close up of text on a book | 39% | |