Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18724424/251,220,25,28/full/0/native.jpg)
AWS Rekognition
Age | 4-9 |
Gender | Female, 54.9% |
Disgusted | 45.1% |
Sad | 50.5% |
Confused | 45.2% |
Angry | 45.2% |
Surprised | 45.1% |
Calm | 47.6% |
Happy | 46.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18724424/313,231,27,29/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 54.9% |
Sad | 46.1% |
Confused | 45.4% |
Happy | 51.2% |
Calm | 45.7% |
Angry | 46.2% |
Surprised | 45.2% |
Disgusted | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18724424/706,275,37,28/full/0/native.jpg)
AWS Rekognition
Age | 45-63 |
Gender | Male, 54.7% |
Angry | 45.1% |
Disgusted | 45.2% |
Surprised | 45.2% |
Confused | 45.2% |
Calm | 53.7% |
Sad | 45.2% |
Happy | 45.3% |
Feature analysis
Categories
Imagga
text visuals | 66.8% | |
paintings art | 23.4% | |
food drinks | 6.7% | |
interior objects | 2.3% | |
Captions
Microsoft
created on 2019-07-07
a person taking a selfie in a mirror | 31.7% | |
a person taking a selfie in front of a mirror posing for the camera | 31.6% | |
a person posing for a photo in front of a mirror | 31.5% | |