Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43317753/817,343,8,13/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 50.2% |
Angry | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Surprised | 49.5% |
Sad | 50.3% |
Happy | 49.5% |
Disgusted | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/43317753/760,332,11,15/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.3% |
Disgusted | 49.5% |
Happy | 49.5% |
Angry | 49.6% |
Calm | 49.5% |
Surprised | 49.5% |
Confused | 49.5% |
Sad | 50.3% |
Feature analysis
Amazon
Person | 98% | |
Categories
Imagga
cars vehicles | 87.2% | |
paintings art | 4.1% | |
food drinks | 3.9% | |
people portraits | 2.3% | |
nature landscape | 1.5% | |
Captions
Microsoft
created on 2019-06-06
a vintage photo of a group of people posing for a picture | 90.7% | |
a black and white photo of a group of people posing for the camera | 87% | |
a black and white photo of a group of people in a field | 86.9% | |