Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18741579/168,126,39,67/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 50.3% |
Calm | 53.8% |
Surprised | 45.3% |
Sad | 45.4% |
Confused | 45.1% |
Disgusted | 45.1% |
Happy | 45.1% |
Angry | 45.3% |
![](https://ids.lib.harvard.edu/ids/iiif/18741579/416,286,30,45/full/0/native.jpg)
AWS Rekognition
Age | 35-52 |
Gender | Female, 54.5% |
Happy | 51.8% |
Sad | 47.6% |
Surprised | 45.1% |
Confused | 45% |
Disgusted | 45% |
Calm | 45.3% |
Angry | 45.1% |
![](https://ids.lib.harvard.edu/ids/iiif/18741579/143,114,74,87/full/0/native.jpg)
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Likely |
Blurred | Very unlikely |
Feature analysis
Categories
Imagga
interior objects | 99% | |
Captions
Microsoft
created on 2019-05-31
a vintage photo of a truck | 87.2% | |
a vintage photo of a person in a car | 75.8% | |
an old photo of a truck | 75.7% | |