Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18818339/785,498,16,30/full/0/native.jpg)
AWS Rekognition
Age | 22-30 |
Gender | Female, 94.1% |
Calm | 97.1% |
Sad | 2.5% |
Happy | 0.1% |
Confused | 0.1% |
Disgusted | 0.1% |
Surprised | 0.1% |
Fear | 0.1% |
Angry | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/18818339/778,483,41,47/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
![](https://ids.lib.harvard.edu/ids/iiif/18818339/446,469,62,71/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
cars vehicles | 70% | |
nature landscape | 16.4% | |
food drinks | 4.4% | |
beaches seaside | 4.1% | |
paintings art | 2.5% | |
Captions
Microsoft
created on 2022-01-15
a group of people sitting in a field | 67.9% | |
a group of people in a field | 67.8% | |
a group of people sitting at a beach | 67.7% | |