Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/19607332/288,210,15,17/full/0/native.jpg)
AWS Rekognition
Age | 34-42 |
Gender | Male, 52.9% |
Happy | 82.8% |
Sad | 12.5% |
Surprised | 1.4% |
Confused | 1.1% |
Calm | 0.8% |
Disgusted | 0.5% |
Fear | 0.5% |
Angry | 0.4% |
![](https://ids.lib.harvard.edu/ids/iiif/19607332/377,187,33,39/full/0/native.jpg)
AWS Rekognition
Age | 39-47 |
Gender | Male, 90.8% |
Calm | 99% |
Sad | 0.2% |
Surprised | 0.2% |
Confused | 0.2% |
Happy | 0.2% |
Disgusted | 0.1% |
Fear | 0.1% |
Angry | 0% |
Feature analysis
Categories
Imagga
interior objects | 54.2% | |
paintings art | 15.2% | |
streetview architecture | 15% | |
food drinks | 8.6% | |
events parties | 4.5% | |
cars vehicles | 1% | |
Captions
Microsoft
created on 2022-01-23
a group of people around each other | 63.3% | |
a group of people in costumes | 63.2% | |
a group of people in a room | 63.1% | |