Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/12422103/193,434,233,205/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Male, 71.2% |
Calm | 65.5% |
Happy | 1.8% |
Sad | 17.9% |
Disgusted | 0.9% |
Angry | 9.1% |
Confused | 2.6% |
Surprised | 2.1% |
![](https://ids.lib.harvard.edu/ids/iiif/12422103/600,35,19,23/full/0/native.jpg)
AWS Rekognition
Age | 48-68 |
Gender | Male, 50.4% |
Sad | 49.7% |
Surprised | 49.5% |
Angry | 49.5% |
Happy | 49.7% |
Confused | 49.5% |
Calm | 50% |
Disgusted | 49.5% |
Feature analysis
Categories
Imagga
nature landscape | 71.2% | |
paintings art | 24.7% | |
beaches seaside | 3% | |
streetview architecture | 0.4% | |
food drinks | 0.3% | |
text visuals | 0.2% | |
sunrises sunsets | 0.1% | |
pets animals | 0.1% | |
macro flowers | 0.1% | |
Captions
Microsoft
created on 2018-03-24
a vintage photo of a book | 43.3% | |
a vintage photo of some text | 43.2% | |
a vintage photo of a person | 43.1% | |