Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 39-57 |
| Gender | Male, 93.7% |
| Sad | 1.1% |
| Confused | 0.8% |
| Angry | 1.6% |
| Disgusted | 2.3% |
| Fear | 1% |
| Surprised | 12.7% |
| Happy | 0.3% |
| Calm | 80.2% |
Microsoft Cognitive Services
| Age | 34 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98% | |
Categories
Imagga
| paintings art | 45.1% | |
| food drinks | 33% | |
| interior objects | 12.2% | |
| streetview architecture | 5.7% | |
| text visuals | 3.3% | |
Captions
Microsoft
created on 2019-11-09
| a black and white photo of a dirty door | 39.8% | |
| a black and white photo of a box | 36.3% | |
| a close up of a box | 36.2% | |
Text analysis
Amazon
