Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18772983/386,353,19,32/full/0/native.jpg)
AWS Rekognition
Age | 38-57 |
Gender | Female, 50.1% |
Disgusted | 49.5% |
Angry | 49.6% |
Happy | 49.5% |
Sad | 50% |
Confused | 49.5% |
Calm | 49.8% |
Surprised | 49.6% |
![](https://ids.lib.harvard.edu/ids/iiif/18772983/471,383,26,37/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 51.5% |
Surprised | 45.1% |
Sad | 45.3% |
Confused | 45.1% |
Calm | 51.9% |
Disgusted | 47.2% |
Angry | 45.2% |
Happy | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18772983/470,390,27,27/full/0/native.jpg)
Microsoft Cognitive Services
Age | 44 |
Gender | Male |
Feature analysis
Categories
Imagga
Captions
Microsoft
created on 2018-04-19
a vintage photo of a person riding a horse | 89.2% | |
a vintage photo of a person riding a horse in a field | 85.6% | |
a vintage photo of a person riding on the back of a horse | 83.8% | |