Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18824100/569,338,12,15/full/0/native.jpg)
AWS Rekognition
Age | 20-28 |
Gender | Male, 96.2% |
Sad | 43.9% |
Happy | 43.3% |
Calm | 6.2% |
Angry | 1.7% |
Confused | 1.5% |
Fear | 1.3% |
Disgusted | 1.1% |
Surprised | 0.9% |
![](https://ids.lib.harvard.edu/ids/iiif/18824100/472,344,9,12/full/0/native.jpg)
AWS Rekognition
Age | 24-34 |
Gender | Male, 70.4% |
Disgusted | 78.5% |
Fear | 10.5% |
Calm | 7.6% |
Sad | 1.2% |
Happy | 0.9% |
Angry | 0.7% |
Surprised | 0.3% |
Confused | 0.3% |
Feature analysis
Categories
Imagga
paintings art | 61.7% | |
text visuals | 20.8% | |
cars vehicles | 8.3% | |
food drinks | 5.2% | |
interior objects | 1.5% | |
nature landscape | 1.2% | |
Captions
Microsoft
created on 2022-01-22
a vintage photo of a train | 82.7% | |
a vintage photo of a group of people posing for the camera | 82.6% | |
a vintage photo of a group of people posing for a picture | 82.5% | |