Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 99.4% |
| Sad | 11.8% |
| Confused | 8.1% |
| Calm | 36.3% |
| Disgusted | 3.5% |
| Happy | 14.3% |
| Surprised | 21.1% |
| Angry | 5% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 99% |
| Happy | 13% |
| Sad | 6.4% |
| Calm | 13.6% |
| Disgusted | 8.8% |
| Surprised | 8.2% |
| Confused | 39.2% |
| Angry | 10.7% |
Microsoft Cognitive Services
| Age | 23 |
| Gender | Female |
Google Vision
| Surprise | Possible |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
| Person | 98.4% | |
Categories
Imagga
| food drinks | 70.4% | |
| macro flowers | 16.5% | |
| interior objects | 6% | |
| nature landscape | 3% | |
| paintings art | 1.8% | |
| events parties | 1.2% | |
Captions
Microsoft
created on 2019-03-22
| a group of people standing in front of a mirror posing for the camera | 35.6% | |
| a group of people standing in front of a mirror | 35.5% | |
| a group of people around each other | 35.4% | |