Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18814295/281,270,27,32/full/0/native.jpg)
AWS Rekognition
Age | 30-40 |
Gender | Male, 77.1% |
Calm | 98.6% |
Disgusted | 0.7% |
Sad | 0.1% |
Confused | 0.1% |
Angry | 0.1% |
Surprised | 0.1% |
Happy | 0.1% |
Fear | 0.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18814295/629,469,8,10/full/0/native.jpg)
AWS Rekognition
Age | 23-31 |
Gender | Male, 78.9% |
Calm | 93.9% |
Happy | 2% |
Sad | 1.4% |
Angry | 1.1% |
Disgusted | 0.8% |
Surprised | 0.4% |
Fear | 0.2% |
Confused | 0.2% |
Feature analysis
Categories
Imagga
cars vehicles | 44.3% | |
beaches seaside | 33.7% | |
streetview architecture | 12.3% | |
nature landscape | 8.4% | |
Captions
Microsoft
created on 2022-01-15
a vintage photo of a person with a racket | 73.2% | |
a vintage photo of a person | 73.1% | |
a vintage photo of a person in a match | 73% | |