Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/18722269/363,243,80,107/full/0/native.jpg)
AWS Rekognition
Age | 57-77 |
Gender | Female, 64.9% |
Sad | 10.5% |
Angry | 8.9% |
Calm | 38.9% |
Disgusted | 4.7% |
Surprised | 7.9% |
Confused | 11.2% |
Happy | 17.9% |
![](https://ids.lib.harvard.edu/ids/iiif/18722269/359,270,75,75/full/0/native.jpg)
Microsoft Cognitive Services
Age | 69 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/18722269/330,224,106,124/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 96.5% | |
Categories
Imagga
food drinks | 50.9% | |
paintings art | 38% | |
nature landscape | 4.4% | |
pets animals | 2.9% | |
events parties | 1.2% | |
macro flowers | 1% | |