Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
| Age | 15-25 |
| Gender | Female, 83% |
| Disgusted | 4.2% |
| Sad | 2.2% |
| Angry | 5% |
| Calm | 21.9% |
| Surprised | 18.4% |
| Happy | 40.2% |
| Confused | 8.1% |
AWS Rekognition
| Age | 60-90 |
| Gender | Male, 96.2% |
| Disgusted | 3.5% |
| Happy | 59% |
| Surprised | 6.9% |
| Angry | 4.2% |
| Calm | 16.7% |
| Sad | 4.8% |
| Confused | 4.9% |
AWS Rekognition
| Age | 35-55 |
| Gender | Male, 88.5% |
| Confused | 7.6% |
| Sad | 18.1% |
| Calm | 9.5% |
| Surprised | 4.5% |
| Disgusted | 12% |
| Angry | 11.7% |
| Happy | 36.7% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 98.7% |
| Disgusted | 6% |
| Sad | 27.8% |
| Calm | 31.7% |
| Surprised | 6% |
| Happy | 13.5% |
| Confused | 7.3% |
| Angry | 7.6% |
AWS Rekognition
| Age | 35-53 |
| Gender | Male, 99.6% |
| Happy | 1% |
| Surprised | 1.6% |
| Angry | 21.9% |
| Calm | 3.7% |
| Disgusted | 63.5% |
| Sad | 2.5% |
| Confused | 5.7% |
AWS Rekognition
| Age | 38-59 |
| Gender | Male, 95.7% |
| Happy | 53.4% |
| Disgusted | 4.6% |
| Confused | 5.9% |
| Calm | 18.1% |
| Angry | 5.4% |
| Sad | 8.5% |
| Surprised | 4.2% |
Microsoft Cognitive Services
| Age | 30 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 45 |
| Gender | Male |
Microsoft Cognitive Services
| Age | 76 |
| Gender | Male |
Google Vision
| Surprise | Very unlikely |
| Anger | Very unlikely |
| Sorrow | Very unlikely |
| Joy | Very likely |
| Headwear | Possible |
| Blurred | Very unlikely |
Feature analysis
Categories
Imagga
| paintings art | 66.5% | |
| beaches seaside | 31% | |
| people portraits | 1.2% | |
| pets animals | 0.5% | |
| interior objects | 0.2% | |
| events parties | 0.2% | |
| text visuals | 0.2% | |
| food drinks | 0.1% | |
| nature landscape | 0.1% | |
Captions
Microsoft
created on 2018-02-10
| a group of people looking at a book | 22.9% | |
| a group of people posing for a photo | 22.8% | |
| a close up of a book | 22.7% | |
Text analysis
Amazon
