Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18741699/175,126,39,66/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 51.9% |
Confused | 45.1% |
Surprised | 45.2% |
Sad | 45.3% |
Angry | 45.2% |
Happy | 45.1% |
Calm | 54% |
Disgusted | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18741699/611,201,38,50/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.9% |
Sad | 50.8% |
Angry | 45.5% |
Disgusted | 45.1% |
Surprised | 45.2% |
Happy | 45.4% |
Calm | 47.8% |
Confused | 45.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18741699/146,113,76,90/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 96.7% | |
food drinks | 1.2% | |
paintings art | 1.1% | |
Captions
Microsoft
created on 2019-05-31
a vintage photo of a truck | 80.8% | |
an old photo of a truck | 80.7% | |
old photo of a truck | 75.4% | |