Machine Generated Data
Tags
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 65.4% |
| Calm | 99.1% |
| Confused | 0.3% |
| Sad | 0.3% |
| Angry | 0.2% |
| Happy | 0.1% |
| Surprised | 0.1% |
| Fear | 0% |
| Disgusted | 0% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 100% |
| Calm | 99.3% |
| Confused | 0.2% |
| Sad | 0.1% |
| Angry | 0.1% |
| Surprised | 0.1% |
| Happy | 0.1% |
| Disgusted | 0% |
| Fear | 0% |
Microsoft Cognitive Services
| Age | 38 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Unlikely |
| Blurred | Very unlikely |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Possible |
| Blurred | Very unlikely |
Feature analysis
Captions
Microsoft
| a vintage photo of a man and woman posing for a picture | 77% | |
| a vintage photo of a person | 76.9% | |
| a vintage photo of a man and a woman posing for a picture | 76.8% | |
Text analysis
Amazon
