Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
![](https://ids.lib.harvard.edu/ids/iiif/23028727/360,162,147,207/full/0/native.jpg)
AWS Rekognition
Age | 16-27 |
Gender | Female, 99.9% |
Happy | 6.7% |
Confused | 6.9% |
Angry | 6.1% |
Sad | 2.8% |
Calm | 68.6% |
Surprised | 6.9% |
Disgusted | 1.9% |
![](https://ids.lib.harvard.edu/ids/iiif/23028727/368,209,151,151/full/0/native.jpg)
Microsoft Cognitive Services
Age | 29 |
Gender | Female |
![](https://ids.lib.harvard.edu/ids/iiif/23028727/310,107,234,272/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 | 85.3% | |
people portraits | 14% | |
food drinks | 0.3% | |
interior objects | 0.1% | |
text visuals | 0.1% | |
pets animals | 0.1% | |
paintings art | 0.1% | |
Captions
Microsoft
created on 2018-03-23
a person sitting in front of a mirror posing for the camera | 75.9% | |
a person standing in front of a mirror posing for the camera | 75.7% | |
a person sitting in front of a mirror | 66% | |