Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18832836/507,215,101,119/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 87.5% |
Happy | 3.8% |
Calm | 31.1% |
Confused | 1.4% |
Sad | 55% |
Disgusted | 1.8% |
Surprised | 1.7% |
Angry | 5.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18832836/409,234,87,111/full/0/native.jpg)
AWS Rekognition
Age | 48-68 |
Gender | Female, 92.2% |
Sad | 89.8% |
Calm | 2.2% |
Happy | 0.8% |
Surprised | 1.5% |
Angry | 2.9% |
Disgusted | 0.7% |
Confused | 2.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18832836/606,223,93,122/full/0/native.jpg)
AWS Rekognition
Age | 30-47 |
Gender | Female, 82.5% |
Sad | 8.7% |
Calm | 32.8% |
Happy | 32.3% |
Surprised | 14.5% |
Angry | 5.2% |
Disgusted | 1.7% |
Confused | 4.8% |
Feature analysis
Categories
Imagga
paintings art | 97.6% | |
food drinks | 1.1% | |
Captions
Microsoft
created on 2019-03-25
a vintage photo of a person | 85.4% | |
a black and white photo of a person | 81.2% | |
a person standing in front of a window | 78.2% | |