Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/436692066/2238,983,53,76/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 51.1% |
Disgusted | 45.1% |
Calm | 53.1% |
Sad | 45.6% |
Angry | 45.6% |
Confused | 45.2% |
Surprised | 45.3% |
Happy | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/436692066/2329,978,55,76/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Male, 54.4% |
Calm | 52.8% |
Sad | 46.4% |
Confused | 45.1% |
Disgusted | 45% |
Happy | 45.2% |
Surprised | 45.2% |
Angry | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/436692066/2398,982,44,62/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Male, 54.4% |
Angry | 45.7% |
Happy | 45.2% |
Calm | 52.7% |
Disgusted | 45.1% |
Surprised | 45.2% |
Sad | 46% |
Confused | 45.1% |
Feature analysis
Categories
Imagga
beaches seaside | 79.5% | |
nature landscape | 11.6% | |
paintings art | 6.8% | |
pets animals | 0.7% | |
streetview architecture | 0.6% | |
macro flowers | 0.2% | |
text visuals | 0.2% | |
food drinks | 0.2% | |
sunrises sunsets | 0.1% | |
people portraits | 0.1% | |
Captions
Microsoft
created on 2018-02-19
a close up of a book | 40.7% | |
close up of a book | 35% | |
a book on a wood surface | 34.9% | |