Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 21-29 |
| Gender | Female, 70.1% |
| Calm | 75.4% |
| Sad | 13.8% |
| Disgusted | 4% |
| Happy | 3.9% |
| Angry | 0.9% |
| Confused | 0.9% |
| Surprised | 0.6% |
| Fear | 0.4% |
AWS Rekognition
| Age | 28-38 |
| Gender | Female, 59.7% |
| Sad | 45.1% |
| Calm | 32.6% |
| Confused | 6.4% |
| Angry | 4.8% |
| Happy | 3.8% |
| Fear | 3.4% |
| Disgusted | 2.4% |
| Surprised | 1.5% |
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 | Likely |
Feature analysis
Amazon
| Person | 98.8% | |
Categories
Imagga
| streetview architecture | 99.3% | |
Captions
Microsoft
created on 2022-01-08
| a vintage photo of an old building | 89.2% | |
| a vintage photo of a group of people standing in front of a building | 78.8% | |
| a vintage photo of some people that are standing in front of a building | 73.9% | |
Text analysis
Amazon
