Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20863371/323,258,53,82/full/0/native.jpg)
AWS Rekognition
Age | 41-49 |
Gender | Female, 82.5% |
Calm | 95% |
Surprised | 6.3% |
Fear | 5.9% |
Happy | 4.7% |
Sad | 2.2% |
Disgusted | 0.1% |
Confused | 0.1% |
Angry | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/20863371/683,274,43,69/full/0/native.jpg)
AWS Rekognition
Age | 23-33 |
Gender | Female, 99.1% |
Calm | 100% |
Surprised | 6.3% |
Fear | 5.9% |
Sad | 2.1% |
Happy | 0% |
Confused | 0% |
Disgusted | 0% |
Angry | 0% |
![](https://ids.lib.harvard.edu/ids/iiif/20863371/340,278,51,51/full/0/native.jpg)
Microsoft Cognitive Services
Age | 32 |
Gender | Female |
Feature analysis
Amazon
Person | 92.2% | |
Categories
Imagga
food drinks | 57.8% | |
interior objects | 41.8% | |
Captions
Microsoft
created on 2022-06-24
a pair of sunglasses on a table | 34.9% | |
a pair of glasses on a table | 34% | |