Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18758368/345,288,73,95/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Male, 82% |
Angry | 6.1% |
Surprised | 4.5% |
Disgusted | 17% |
Sad | 32.5% |
Calm | 19.1% |
Happy | 13.4% |
Confused | 7.4% |
![](https://ids.lib.harvard.edu/ids/iiif/18758368/502,327,77,96/full/0/native.jpg)
AWS Rekognition
Age | 16-27 |
Gender | Female, 72% |
Sad | 10.8% |
Angry | 2.3% |
Calm | 75.1% |
Confused | 3.8% |
Disgusted | 2.1% |
Happy | 3.8% |
Surprised | 2.2% |
![](https://ids.lib.harvard.edu/ids/iiif/18758368/367,208,59,51/full/0/native.jpg)
AWS Rekognition
Age | 23-38 |
Gender | Female, 70.3% |
Surprised | 2.2% |
Confused | 1.4% |
Disgusted | 1.4% |
Happy | 1.5% |
Sad | 58.7% |
Calm | 32.8% |
Angry | 2% |
Feature analysis
Amazon
Person | 97.9% | |
Categories
Imagga
paintings art | 70.4% | |
interior objects | 27.6% | |
food drinks | 1.1% | |
Captions
Microsoft
created on 2019-06-01
a vintage photo of a person | 94% | |
a vintage photo of a man and woman posing for a picture | 79.6% | |
a vintage photo of a man and a woman posing for a picture | 79.5% | |