Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43318230/684,387,20,25/full/0/native.jpg)
AWS Rekognition
Age | 9-14 |
Gender | Female, 54.8% |
Angry | 46.2% |
Happy | 49% |
Calm | 46.3% |
Confused | 45.6% |
Sad | 46.2% |
Disgusted | 45.9% |
Surprised | 45.8% |
![](https://ids.lib.harvard.edu/ids/iiif/43318230/572,257,15,19/full/0/native.jpg)
AWS Rekognition
Age | 14-25 |
Gender | Female, 50.1% |
Happy | 49.5% |
Surprised | 49.5% |
Confused | 49.6% |
Disgusted | 49.6% |
Calm | 49.6% |
Angry | 49.6% |
Sad | 50% |
Feature analysis
Amazon
Person | 99.6% | |
Categories
Imagga
paintings art | 41.5% | |
streetview architecture | 34.1% | |
nature landscape | 8.1% | |
text visuals | 6.1% | |
beaches seaside | 4.1% | |
cars vehicles | 3.1% | |
food drinks | 2.4% | |
Captions
Microsoft
created on 2019-06-05
a vintage photo of a person | 83.8% | |
an old photo of a person | 83.1% | |
a vintage photo of an old building | 71.2% | |