Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/43313724/525,260,9,12/full/0/native.jpg)
AWS Rekognition
Age | 26-44 |
Gender | Female, 50.5% |
Angry | 49.5% |
Confused | 49.5% |
Calm | 49.5% |
Surprised | 49.5% |
Sad | 49.6% |
Happy | 50.3% |
Disgusted | 49.5% |
![](https://ids.lib.harvard.edu/ids/iiif/43313724/366,264,9,13/full/0/native.jpg)
AWS Rekognition
Age | 14-25 |
Gender | Female, 50.1% |
Confused | 49.5% |
Angry | 49.5% |
Disgusted | 49.6% |
Calm | 49.5% |
Happy | 49.5% |
Surprised | 49.5% |
Sad | 50.3% |
![](https://ids.lib.harvard.edu/ids/iiif/43313724/587,304,12,16/full/0/native.jpg)
AWS Rekognition
Age | 20-38 |
Gender | Female, 50.5% |
Calm | 49.8% |
Angry | 49.6% |
Happy | 49.6% |
Sad | 49.8% |
Surprised | 49.5% |
Confused | 49.5% |
Disgusted | 49.6% |
Feature analysis
Amazon
Person | 99.5% | |
Categories
Imagga
paintings art | 74.8% | |
food drinks | 19.8% | |
text visuals | 4.5% | |
Captions
Microsoft
created on 2019-06-05
an old photo of a sign | 44.3% | |