Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 10-15 |
| Gender | Male, 84.9% |
| Disgusted | 1.4% |
| Calm | 4.3% |
| Angry | 1.8% |
| Happy | 1.4% |
| Confused | 3.2% |
| Sad | 81.2% |
| Surprised | 6.6% |
AWS Rekognition
| Age | 23-38 |
| Gender | Male, 97% |
| Angry | 3.4% |
| Happy | 1.3% |
| Calm | 84.1% |
| Disgusted | 1.1% |
| Surprised | 3.1% |
| Sad | 4.6% |
| Confused | 2.4% |
AWS Rekognition
| Age | 29-45 |
| Gender | Female, 58.7% |
| Disgusted | 30.5% |
| Confused | 6% |
| Happy | 14.6% |
| Angry | 25% |
| Calm | 7.9% |
| Surprised | 8.1% |
| Sad | 8% |
AWS Rekognition
| Age | 26-44 |
| Gender | Female, 51.5% |
| Happy | 45.6% |
| Sad | 48.6% |
| Confused | 45.3% |
| Surprised | 45.3% |
| Calm | 46.2% |
| Angry | 47.5% |
| Disgusted | 46.5% |
AWS Rekognition
| Age | 48-68 |
| Gender | Male, 53.4% |
| Surprised | 45.4% |
| Disgusted | 52.3% |
| Sad | 45.3% |
| Angry | 45.4% |
| Happy | 45.2% |
| Confused | 45.7% |
| Calm | 45.6% |
AWS Rekognition
| Age | 45-63 |
| Gender | Male, 86.7% |
| Confused | 3.1% |
| Sad | 4.3% |
| Surprised | 3% |
| Angry | 19.1% |
| Calm | 45% |
| Happy | 1.5% |
| Disgusted | 24% |
AWS Rekognition
| Age | 57-77 |
| Gender | Male, 54.6% |
| Surprised | 45.2% |
| Happy | 45.5% |
| Disgusted | 45.4% |
| Confused | 45.3% |
| Sad | 52% |
| Angry | 45.9% |
| Calm | 45.7% |
AWS Rekognition
| Age | 6-13 |
| Gender | Female, 54.4% |
| Calm | 45.5% |
| Happy | 46% |
| Surprised | 45.4% |
| Confused | 45.3% |
| Disgusted | 46% |
| Sad | 50% |
| Angry | 46.8% |
Feature analysis
Categories
Imagga
| paintings art | 95.1% | |
| streetview architecture | 3% | |
| text visuals | 1.3% | |
| interior objects | 0.3% | |
| events parties | 0.1% | |
| food drinks | 0.1% | |
| pets animals | 0.1% | |
Captions
Microsoft
created on 2018-02-19
| a group of people posing for a photo | 38% | |
| a group of people posing for the camera | 37.9% | |
| a group of people posing for a picture | 37.8% | |