Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/15303601/449,383,13,16/full/0/native.jpg)
AWS Rekognition
Age | 45-66 |
Gender | Female, 50.4% |
Angry | 49.8% |
Surprised | 49.5% |
Confused | 49.5% |
Calm | 49.6% |
Happy | 49.7% |
Disgusted | 49.6% |
Sad | 49.8% |
![](https://ids.lib.harvard.edu/ids/iiif/15303601/550,379,11,16/full/0/native.jpg)
AWS Rekognition
Age | 38-59 |
Gender | Female, 50.4% |
Disgusted | 49.6% |
Confused | 49.5% |
Surprised | 49.6% |
Calm | 49.5% |
Happy | 49.6% |
Angry | 49.7% |
Sad | 49.9% |
Feature analysis
Categories
Imagga
cars vehicles | 51.4% | |
nature landscape | 35.7% | |
beaches seaside | 11.4% | |
Captions
Microsoft
created on 2019-05-29
a black and white photo of a truck | 85.1% | |
a vintage photo of a truck | 85% | |
a black and white photo of a train | 80.3% | |