Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/20456966/395,288,135,177/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 57.8% |
Angry | 2.5% |
Disgusted | 3.9% |
Calm | 78.6% |
Sad | 6.5% |
Surprised | 2.7% |
Confused | 3.5% |
Happy | 2.3% |
![](https://ids.lib.harvard.edu/ids/iiif/20456966/608,406,77,114/full/0/native.jpg)
AWS Rekognition
Age | 26-43 |
Gender | Female, 77.5% |
Confused | 2.8% |
Angry | 2.9% |
Disgusted | 3.4% |
Surprised | 2.3% |
Calm | 10.5% |
Happy | 8% |
Sad | 70.1% |
![](https://ids.lib.harvard.edu/ids/iiif/20456966/381,318,128,128/full/0/native.jpg)
Microsoft Cognitive Services
Age | 44 |
Gender | Male |
![](https://ids.lib.harvard.edu/ids/iiif/20456966/360,248,196,228/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
Categories
Imagga
events parties | 90.9% | |
people portraits | 4.9% | |
food drinks | 3.2% | |
Captions
Microsoft
created on 2019-08-07
a vintage photo of a person | 82.6% | |
a vintage photo of a person | 82.5% | |
an old photo of a person | 82.4% | |