Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 64.8% |
| Confused | 4.6% |
| Disgusted | 2.2% |
| Sad | 81.3% |
| Angry | 7.1% |
| Calm | 2.5% |
| Happy | 0.8% |
| Surprised | 1.4% |
AWS Rekognition
| Age | 35-52 |
| Gender | Male, 97.4% |
| Angry | 3.4% |
| Calm | 66% |
| Surprised | 3.7% |
| Happy | 2% |
| Sad | 18.7% |
| Disgusted | 0.7% |
| Confused | 5.5% |
Microsoft Cognitive Services
| Age | 54 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 33 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Likely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.6% | |
Captions
Microsoft
| a vintage photo of Edward S. Curtis et al. posing for the camera | 86.8% | |
| a vintage photo of Edward S. Curtis and woman posing for a picture | 78.5% | |
| a vintage photo of Edward S. Curtis et al. posing for a picture | 78.4% | |