Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43362515/322,339,9,13/full/0/native.jpg)
AWS Rekognition
Age | 29-45 |
Gender | Male, 50.4% |
Confused | 49.6% |
Disgusted | 49.5% |
Calm | 49.8% |
Angry | 49.8% |
Happy | 49.6% |
Sad | 49.7% |
Surprised | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/43362515/678,333,8,10/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.4% |
Angry | 49.7% |
Sad | 49.7% |
Happy | 49.6% |
Disgusted | 49.8% |
Calm | 49.6% |
Surprised | 49.6% |
Confused | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/43362515/584,314,7,11/full/0/native.jpg)
AWS Rekognition
Age | 14-25 |
Gender | Female, 50.5% |
Happy | 49.6% |
Disgusted | 49.5% |
Sad | 49.7% |
Angry | 49.6% |
Confused | 49.6% |
Calm | 49.8% |
Surprised | 49.6% |
Feature analysis
Categories
Imagga
interior objects | 68.3% | |
food drinks | 31.3% | |