Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/20489464/431,478,12,14/full/0/native.jpg)
AWS Rekognition
Age | 10-20 |
Gender | Male, 50.1% |
Sad | 49.5% |
Surprised | 49.5% |
Happy | 49.5% |
Fear | 49.5% |
Calm | 50.4% |
Angry | 49.5% |
Confused | 49.5% |
Disgusted | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/20489464/128,413,11,14/full/0/native.jpg)
AWS Rekognition
Age | 9-19 |
Gender | Male, 50.3% |
Confused | 49.5% |
Disgusted | 49.5% |
Surprised | 49.5% |
Happy | 49.6% |
Sad | 49.7% |
Angry | 49.7% |
Fear | 49.5% |
Calm | 50% |
Feature analysis
Categories
Imagga
beaches seaside | 96.2% | |
nature landscape | 2.3% | |
paintings art | 1.1% | |
Captions
Microsoft
created on 2019-11-09
a vintage photo of a person | 66.6% | |
a vintage photo of an old building | 66.5% | |
an old photo of a person | 66.4% | |