Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 26-43 |
| Gender | Female, 54.3% |
| Angry | 46.7% |
| Happy | 45.1% |
| Disgusted | 45.1% |
| Confused | 45.1% |
| Sad | 47.7% |
| Surprised | 45.1% |
| Calm | 50.2% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 54.6% |
| Angry | 45.6% |
| Calm | 49.1% |
| Disgusted | 45.4% |
| Sad | 48.3% |
| Surprised | 45.4% |
| Confused | 46.1% |
| Happy | 45.1% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 50.4% |
| Angry | 49.6% |
| Confused | 49.6% |
| Disgusted | 49.8% |
| Surprised | 49.5% |
| Happy | 49.6% |
| Calm | 49.9% |
| Sad | 49.6% |
Microsoft Cognitive Services
| Age | 27 |
| Gender | Female |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very unlikely |
| Headwear | Very unlikely |
| Blurred | Very unlikely |
Feature analysis
Amazon
Categories
Imagga
| streetview architecture | 25.4% | |
| nature landscape | 24.8% | |
| paintings art | 15.8% | |
| people portraits | 12.7% | |
| events parties | 9.7% | |
| food drinks | 3.3% | |
| pets animals | 2.3% | |
| beaches seaside | 2.1% | |
| cars vehicles | 1.4% | |
| text visuals | 1.3% | |
Captions
Microsoft
created on 2019-05-29
| a group of people standing next to a train | 96.6% | |
| a group of people standing in a train station | 95.8% | |
| a group of people standing on a train track | 95.3% | |